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Tytuł:
Development of an Approximation Model of Selected Properties of Model Materials Used for Simulations of Bulk Metal Plastic Forming Processes Using Induction of Decision Trees
Autorzy:
Hawryluk, M.
Wilk-Kołodziejczyk, D.
Regulski, K.
Głowacki, M.
Powiązania:
https://bibliotekanauki.pl/articles/351927.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
regression tree induction
properties approximation
physical modelling
soft model materials
Opis:
The article discusses the development of an approximation model of selected plastic and mechanical properties obtained from compression tests of model materials used in physical modeling. The use of physical modeling with the use of soft model materials such as a synthetic wax branch with various modifiers is a popular tool used as an alternative or verification of numerical modeling of bulk metal forming processes. In order to develop an algorithm to facilitate the choice of material model to simulate the behavior of real-metallic materials used in industrial production processes the induction of decision trees was used. First of all, the Statistica program was used for data mining, which made it possible to determine / find the relationship between the percentage of particular constituents of the model material (base material and modifiers) and yield strength, critical and maximum strain, and provide the opportunity to indicate the most important variables determining the shape of the stress - strain curve. Next, using the induction of decision trees, an approximation model was developed, which allowed to create an algorithm facilitating the selection of individual modifying components. The last stage of the research was verification of the correctness of the developed algorithm. The obtained research results indicate the possibility of using decision tree induction to approximate selected properties of modeling materials simulating the behavior of real materials, thus eliminating the need for costly and time-consuming experiments carried out on metallic material.
Źródło:
Archives of Metallurgy and Materials; 2019, 64, 3; 1073-1085
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The importance of sustainable urban mobility in shaping the quality of life of the inhabitants of functional urban areas
Autorzy:
Perło, Dorota
Powiązania:
https://bibliotekanauki.pl/articles/2128516.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet w Białymstoku. Wydawnictwo Uniwersytetu w Białymstoku
Tematy:
quality of life
sustainable urban mobility
soft model
urban functional area
Opis:
Purpose – The aim of this article is to examine the impact of sustainable urban mobility on the quality of life of inhabitants of functional urban areas. A thesis has been posed about the important relationship between them. Research method – The article uses the method of soft modelling, which enables the study of the relationships between the hidden variables. Statistical data used in the empirical study concerns the Bialystok Functional Area. Results – As a result of the conducted research and analyses, key determinants of sustainable urban mobility and quality of life were determined, the most important threats related to environmental degradation were identified as well as innovative solutions for sustainable urban mobility that should be implemented in order to effectively manage resources and protect them for the future generations were found. Originality /value – Key research results can be useful in the process of developing Sustainable Urban Mobility Plans.
Źródło:
Optimum. Economic Studies; 2020, 4(102); 91-108
1506-7637
Pojawia się w:
Optimum. Economic Studies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Soft computing in model-based predictive control
Autorzy:
Tatjewski, P.
Ławryńczuk, M.
Powiązania:
https://bibliotekanauki.pl/articles/908473.pdf
Data publikacji:
2006
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
sterowanie procesami
sterowanie predykcyjne
system nieliniowy
system rozmyty
sieć neuronowa
process control
model predictive control
nonlinear systems
fuzzy systems
neural networks
Opis:
The application of fuzzy reasoning techniques and neural network structures to model-based predictive control (MPC) is studied. First, basic structures of MPC algorithms are reviewed. Then, applications of fuzzy systems of the Takagi-Sugeno type in explicit and numerical nonlinear MPC algorithms are presented. Next, many techniques using neural network modeling to improve structural or computational properties of MPC algorithms are presented and discussed, from a neural network model of a process in standard MPC structures to modeling parts or entire MPC controllers with neural networks. Finally, a simulation example and conclusions are given.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2006, 16, 1; 7-26
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimization of soft-sensing model for ash content prediction of flotation tailings by image features tailings based on GA-SVMR
Autorzy:
Wang, Guanghui
He, Ting
Kuang, Yali
Lin, Zhe
Powiązania:
https://bibliotekanauki.pl/articles/1449310.pdf
Data publikacji:
2020
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
GA-SVMR
image features
flotation
ash content
Opis:
Ash content is one of the most important properties of coal quality and the ash prediction of coal slurry in floatation is urgent and important for automation of the floatation process. The aim of this paper is to propose a method of ash content prediction for flotation tailings by the use of image analysis. The mean gray value, energy, skewness and coal slurry concentration are highly correlated with coal slurry ash content by correlation analysis based on experiments while the particles’ size has little effect on the ash. Single variable linear prediction model between coal ash content and mean gray value was developed by the LS and its prediction errors were below 7%. For improving the prediction results, an ash prediction model based on GA-SVMR was established with additional three input parameters: energy, skewness, coal slurry concentration. This model has a higher accuracy with predictive errors all below 5% and 80% of them less than 3%. Results indicate that GA-SVMR model has a higher precision compared with LS model and PSO-SVMR model and soft-sensing model based on image features of the slurry can be used as a new method for ash detection of floatation tailings in automatic control process of coal flotation.
Źródło:
Physicochemical Problems of Mineral Processing; 2020, 56, 4; 590-598
1643-1049
2084-4735
Pojawia się w:
Physicochemical Problems of Mineral Processing
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Non-integer viscoelastic constitutive law to model soft biological tissues to in-vivo indentation
Autorzy:
Demirci, N.
Tönük, E.
Powiązania:
https://bibliotekanauki.pl/articles/307448.pdf
Data publikacji:
2014
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
rachunek niecałkowitego rzędu
tkanka miękka
lepkosprężystość
fractional calculus
indentation tests
inverse finite element analysis
soft tissue constitutive relation
viscoelasticity
Opis:
Purpose: During the last decades, derivatives and integrals of non-integer orders are being more commonly used for the description of constitutive behavior of various viscoelastic materials including soft biological tissues. Compared to integer order constitutive relations, non-integer order viscoelastic material models of soft biological tissues are capable of capturing a wider range of viscoelastic behavior obtained from experiments. Although integer order models may yield comparably accurate results, non-integer order material models have less number of parameters to be identified in addition to description of an intermediate material that can monotonically and continuously be adjusted in between an ideal elastic solid and an ideal viscous fluid.Methods: In this work, starting with some preliminaries on non-integer (fractional) calculus, the “spring-pot”, (intermediate mechanical element between a solid and a fluid), non-integer order three element (Zener) solid model, finally a user-defined large strain non-integer order viscoelastic constitutive model was constructed to be used in finite element simulations. Using the constitutive equation developed, by utilizing inverse finite element method and in vivo indentation experiments, soft tissue material identification was performed. Results: The results indicate that material coefficients obtained from relaxation experiments, when optimized with creep experimental data could simulate relaxation, creep and cyclic loading and unloading experiments accurately.Conclusions: Non-integer calculus viscoelastic constitutive models, having physical interpretation and modeling experimental data accurately is a good alternative to classical phenomenological viscoelastic constitutive equations.
Źródło:
Acta of Bioengineering and Biomechanics; 2014, 16, 4; 13-21
1509-409X
2450-6303
Pojawia się w:
Acta of Bioengineering and Biomechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Takagi Sugeno fuzzy expert model based soft fault diagnosis for two tank interacting system
Autorzy:
Manikandan, P.
Geetha, M.
Powiązania:
https://bibliotekanauki.pl/articles/229272.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
extended Kalman filter
fault diagnosis
fuzzy logic
two-tank system
Opis:
The inherent characteristics of fuzzy logic theory make it suitable for fault detection and diagnosis (FDI). Fault detection can benefit from nonlinear fuzzy modeling and fault diagnosis can profit from a transparent reasoning system, which can embed operator experience, but also learn from experimental and/or simulation data. Thus, fuzzy logic-based diagnostic is advantageous since it allows the incorporation of a-priori knowledge and lets the user understand the inference of the system. In this paper, the successful use of a fuzzy FDI based system, based on dynamic fuzzy models for fault detection and diagnosis of an industrial two tank system is presented. The plant data is used for the design and validation of the fuzzy FDI system. The validation results show the effectiveness of this approach.
Źródło:
Archives of Control Sciences; 2014, 24, 3; 271-287
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Numerical analysis of consolidation settlement and creep deformation of artificial island revetment structure in a large-scale marine reclamation land project
Autorzy:
Zhao, J.
Zhou, T.
Wang, G.
Powiązania:
https://bibliotekanauki.pl/articles/258848.pdf
Data publikacji:
2015
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
marine reclamation land
Soft-Soil-Creep model
consolidation settlement
pore pressure
micro-structure
numerical analysis
Opis:
In order to analyze the influential factors of soft foundation settlement in a marine reclamation land project, the consolidation settlement and pore pressure dissipation of the entire area are numerically simulated using Soft-SoilCreep Model, in which the PLAXIS finite element software for professional geotechnical engineering is applied and empirical data of Japanese Kansai’s airport project are used. Moreover, the figures of settlement and pore pressure results in the different basic period are drawn, and the corresponding analysis conclusions are obtained based on the comparison among the results from the computational parameters of depth. In addition,, the influence rules of various parameters on settlement results is concluded through running the parameter sensitivity analysis in Soft-Soil-Creep Model, and the experience and conclusions can be for reference in the design and con-struction of similar large-scale marine reclamation land project. Also the empirical value method of the creep index has not been applied widely. Further research needs to be done.
Źródło:
Polish Maritime Research; 2015, S 1; 35-42
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Investigation of the settlement prediction in soft soil by Richards Model: based on a linear least squares-iteration method
Autorzy:
Nadeem, Muhammad
Akbar, Muhammad
Huali, Pan
Xiaoqing, Li
Guoqiang, Ou
Amin, Azka
Powiązania:
https://bibliotekanauki.pl/articles/1852538.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
metoda iteracji liniowej
metoda najmniejszych kwadratów
prognoza
grunt słaby
podłoże gruntowe
błąd porównawczy
osiadanie gruntu
model obliczeniowy
linear iterative method
least square method
prediction
soft soil
comparative error
settlement
calculation model
Opis:
Prediction of soft soil sub-grades settlement has been a big challenge for geotechnical engineers that are responsible for the design of roadbed embankment. The characteristics of low strength, poor permeability, high water contents, and high compressibility are dominant in soft soils, which result in a huge settlement in the case of long-term loading. The settlement prediction in soft soil subgrades of Jiehui Expressway A1, Guangdong, China, is the focus of this study. For this purpose, the necessary data of settlement is collected throughout the project execution. The numerical analysis is conducted by using the Richards model based on Linear Least Squares Iteration (LLS-I) method to calculate and predict the expected settlement. The traditional settlement prediction methods, including the hyperbolic method, exponential curve method, and pearl curve method, are applied on field settlement data of soft soil subgrades of Jiehui Expressway A1. The results show that the Richards model based on Linear Least Squares Iteration (LLS-I) method has high precision, and it has proven to be a better option for settlement prediction of soft soil sub-grades. The model analysis indicates that the mean absolute percentage error (MAPE) can be minimized as compared to other soft soil sub-grades settlement prediction methods. Hence, Richards's model-based LLS-I method has a capability for simulation and settlement prediction of soft soil subgrades.
Źródło:
Archives of Civil Engineering; 2021, 67, 2; 491-506
1230-2945
Pojawia się w:
Archives of Civil Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Developing an Advanced Soft Computational Model for Estimating Blast-Induced Ground Vibration in Nui Beo Open-pit Coal Mine (Vietnam) Using Artificial Neural Network
Opracowanie zaawansowanego modelu obliczeniowego do szacowania wibracji gruntu wywołanych wybuchem w odkrywkowej kopalni węgla Nui Beo (Wietnam) przy użyciu sztucznej sieci neuronowej
Autorzy:
Nguyen, Hoang
Bui, Xuan‑Nam
Tran, Quang Hieu
Nguyen, Quoc Long
Vu, Dinh Hieu
Pham, Van Hoa
Le, Qui Thao
Nguyen, Phu Vu
Powiązania:
https://bibliotekanauki.pl/articles/317864.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Przeróbki Kopalin
Tematy:
Wietnam
górnictwo odkrywkowe
sieci neuronowe
Vietnam
open pit mining
artificial neural network
Opis:
The principal object of this study is blast-induced ground vibration (PPV), which is one of the dangerous side effects of blasting operations in an open-pit mine. In this study, nine artificial neural networks (ANN) models were developed to predict blast-induced PPV in Nui Beo open-pit coal mine, Vietnam. Multiple linear regression and the United States Bureau of Mines (USBM) empirical techniques are also conducted to compare with nine developed ANN models. 136 blasting operations were recorded in many years used for this study with 85% of the whole datasets (116 blasting events) was used for training and the rest 15% of the datasets (20 blasting events) for testing. Root Mean Square Error (RMSE), Determination Coefficient (R2), and Mean Absolute Error (MAE) are used to compare and evaluate the performance of the models. The results revealed that ANN technique is more superior to other techniques for estimating blast-induced PPV. Of the nine developed ANN models, the ANN 7-10-8-5-1 model with three hidden layers (ten neurons in the first hidden layer, eight neurons in the second layers, and five neurons in the third hidden layer) provides the most outstanding performance with an RMSE of 1.061, R2 of 0.980, and MAE of 0.717 on testing datasets. Based on the obtained results, ANN technique should be applied in preliminary engineering for estimating blast-induced PPV in open-pit mine.
Źródło:
Inżynieria Mineralna; 2019, 21, 2/2; 58-73
1640-4920
Pojawia się w:
Inżynieria Mineralna
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Experimental Studies on Post-Explosion Lesions in a Model of Human Soft Tissues
Badania doświadczalne powybuchowych uszkodzeń modelu tkanek miękkich ciała ludzkiego
Autorzy:
Smędra, Anna
Siadkowski, Adrian
Berent, Jarosław
Powiązania:
https://bibliotekanauki.pl/articles/2180204.pdf
Data publikacji:
2022
Wydawca:
Wojskowa Akademia Techniczna im. Jarosława Dąbrowskiego
Tematy:
forensic pathology
blast-related injuries
models of human body
shock wave
medycyna sądowa
obrażenie powybuchowe
model tkanek ludzkich
fala uderzeniowa
Opis:
Descriptions of blast-related injuries have long been established in the textbooks. Since, for obvious reasons, it is difficult to perform ballistic studies on human tissues, such research is usually conducted on appropriate models, i.e., gelatin blocks and soap blocks - each of these materials has distinctive properties, which make them suitable for unique applications. The work aims to present the possibilities for analyzing the effects of explosion on the human body using a ballistic soap model. The tests performed allow to conclude that a shock wave affects the surface of the ballistic soap block, generating hemispherical craters, which begin to overlap when the distance between the explosive charge and block is reduced, until they form one semi-cylindrical hollow (when linear charge is used), which represents a temporary cavity. The results obtained allow for an assessment of the extent of post-explosion lesions.
We współczesnym piśmiennictwie tematycznym istnieje zgodność co do rodzajów obrażeń ciała będących skutkiem wybuchu. Ponieważ badania balistyczne tkanek ludzkich z oczywistych względów są trudne do przeprowadzenia, zazwyczaj prowadzi się je na odpowiednich modelach, tj. blokach żelatynowych i blokach mydlanych, których właściwości są jednak różne i przez to ich zastosowania są inne. Celem pracy było przedstawienie możliwości badania skutków wybuchu na ciało ludzkie przy pomocy modelu z mydła balistycznego. Uzyskane wyniki pozwalają na wyciągnięcie wniosku, że fala uderzeniowa działa na powierzchnię takiego bloku generując uszkodzenia o półkulistym kształcie, które przy zmniejszaniu się odległości od ładunku zaczynają się nakładać na siebie, aż do całkowitego zlania się w jedno uszkodzenie o półwalcowatym kształcie (przy ładunku liniowym), co odwzorowuje jamę tymczasową. Uzyskane wyniki pozwalają na oszacowanie rozległości uszkodzeń powybuchowych.
Źródło:
Problemy Mechatroniki : uzbrojenie, lotnictwo, inżynieria bezpieczeństwa; 2022, 13, 4 (50); 147--153
2081-5891
Pojawia się w:
Problemy Mechatroniki : uzbrojenie, lotnictwo, inżynieria bezpieczeństwa
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A random forest model for the prediction of spudcan penetration resistance in stiff-over-soft clays
Autorzy:
Gao, Pan
Liu, Zhihui
Zeng, Ji
Zhan, Yiting
Wang, Fei
Powiązania:
https://bibliotekanauki.pl/articles/1573798.pdf
Data publikacji:
2020
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
machine learning
random forest
jack-up
penetration resistance
stiff-over-soft clays
Opis:
Punch-through is a major threat to the jack-up unit, especially at well sites with layered stiff-over-soft clays. A model is proposed to predict the spudcan penetration resistance in stiff-over-soft clays, based on the random forest (RF) method. The RF model was trained and tested with numerical simulation results obtained through the Finite Element model, implemented with the Coupled Eulerian Lagrangian (CEL) approach. With the proposed CEL model, the effects of the stiff layer thickness, undrained shear strength ratio, and the undrained shear strength of the soft layer on the bearing characteristics, as well as the soil failure mechanism, were numerically studied. A simplified resistance profile model of penetration in stiff-over-soft clays is proposed, divided into three sections by the peak point and the transition point. The importance of soil parameters to the penetration resistance was analysed. Then, the trained RF model was tested against the test set, showing a good prediction of the numerical cases. Finally, the trained RF was validated against centrifuge tests. The RF model successfully captured the punch-through potential, and was verified using data recorded in the field, showing advantages over the SNAME guideline. It is supposed that the trained RF model should give a good prediction of the spudcan penetration resistance profile, especially if trained with more field data.
Źródło:
Polish Maritime Research; 2020, 4; 130-138
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Numerical analysis of test embankment on soft ground using multi-laminate type model with destructuration
Analiza numeryczna nasypu drogowego posadowionego na gruncie słabonośnym z zastosowaniem modelu wielopłaszczyznowego z destrukturyzacją
Autorzy:
Cudny, M.
Powiązania:
https://bibliotekanauki.pl/articles/230505.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
geomechanika
modelowanie konstytutywne
nasyp drogowy
grunt słaby

model wielopłaszczyznowy
anizotropia
geomechanics
constitutive modelling
road embankment
soft soil
clay
multi-laminate type model
anisotropy
Opis:
A multi-laminate constitutive model for soft soils incorporating structural anisotropy is presented. Stress induced anisotropy of strength, which is present in multi-laminate type constitutive models, is augmented by directionally distributed overconsolidation. The model is presented in the elastic-plastic version in order to simulate strength anisotropy of soft clayey soils and destructuration effects. Performance of the model is shown for some element tests and for the numerical simulation of a trial road embankment constructed on soft clays at Haarajoki, Finland. The numerical calculations are completed with the commercial finite element code capable to perform coupled static/consolidation analysis of soils. Problems related to the initiation of in situ stress state, conditions of preconsolidation, as well as difficulties linked to estimation of the model parameters are discussed. Despite simple assumptions concerning field conditions and non-viscous formulation of the constitutive model, the obtained final results are of a sufficient accuracy for geotechnical practice.
W artykule przedstawiono model wielopłaszczyznowy (multi-Iaminate) uwzgledniający anizotropię struktury słabonośnych gruntów drobnoziarnistych. Anizotropia indukowana naprężeniem, którą otrzymuje się przy zastosowaniu modeli wielopłaszczyznowych, jest dodatkowo wzmocniona poprzez wprowadzene prekonsolidacji zależnej od orientacji przestrzennej. Model przedstawiono w wersji sprężysto-plastycznej, w której możliwa jest symulacja anizotropii wytrzymałości słabonośnych gruntów drobnoziarnistych oraz zjawiska destrukturyzacji. Działanie modelu pokazano w symulacjach numerycznych wybranych badań elementarnych oraz przy zastosowaniu w modelowaniu numerycznym odkształcenia słabonośnego podłoża gruntowego pod próbnym nasypem drogowym w Haarajoki, Finlandia. Symulację numeryczną przeprowadzono przy użyciu komercyjnego programu metody elementów skończonych pozwalającego na analizę sprzężonych zagadnień brzegowych statyki i konsolidacji. Omówiono zagadnienia związane z przyjęciem warunków początkowych stanu naprężenia in situ oraz warunków prekonsolidacji, jak również przedstawiono problemy związane z przyjęciem parametrów modelu. Pomimo przyjęcia prostych zasad dotyczących warunków początkowych oraz przy pominięciu efektów lepkości w modelu konstytutywnym, otrzymane wyniki pozwoliły na osiągnięcie wystarczającej w praktyce geotechnicznej dokładności w stosunku do wartości pomierzonych.
Źródło:
Archives of Civil Engineering; 2011, 57, 1; 27-44
1230-2945
Pojawia się w:
Archives of Civil Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
First attempt to model numerically seismically-induced soft-sediment deformation structures : a comparison with field examples
Autorzy:
Bronikowska, Małgorzata
Pisarska-Jamroży, Małgorzata
Loon, van Tom
Powiązania:
https://bibliotekanauki.pl/articles/2058679.pdf
Data publikacji:
2021
Wydawca:
Państwowy Instytut Geologiczny – Państwowy Instytut Badawczy
Tematy:
numerical modelling
seismic waves
wave propagation
seismites
soft-sediment deformation structures
load casts
injection structures
Opis:
No numerical model has thus far addressed seismites, even though seismites are frequently used for the conditions which have to be fulfilled for the development of seismites have also been estimated only empirically. The present contribution is a first attempt to model numerically the soft-sediment deformation structures caused by the passage of S-waves through near-surface sedimentary layers. The simulations are based on the so-reconstruction of seismic events in the geological past. This is the more remarkable since the boundary called pressure tube model and the iSALE2D program. We modelled a seismic S-wave with six different vertical velocities, ranging from 1.6 to 2.6 m · s-1, passing through sediments with different densities and porosities in a sedimentary succession from the surface down to a depth of 10 m. The modelled soft-sediment deformation structures (load casts, flame structures, injection structures and sedimentary volcanoes) show similar geometries and sizes as those known from laboratory experiments and field studies. The geometry, size and type of these structures depend on the sediment properties and on the initial pressure used as a trigger mechanism, rather than on S-wave velocity. In contrast, the depth of the seismites appears to depend strongly on the S-wave velocity.
Źródło:
Geological Quarterly; 2021, 65, 4; s. 216--225
1641-7291
Pojawia się w:
Geological Quarterly
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modelling the time-dependent behaviour of soft soils
Autorzy:
Staszewska, Katarzyna
Cudny, Marcin
Powiązania:
https://bibliotekanauki.pl/articles/178172.pdf
Data publikacji:
2020
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
creep
soft soil
normally consolidated soils
elasto-viscoplastic model
Opis:
Time dependence of soft soils has already been thoroughly investigated. The knowledge on creep and relaxation phenomena is generally available in the literature. However, it is still rarely applied in practice. Regarding the organic soils, geotechnical engineers mostly base their calculations on the simple assumptions. Yet, as presented within this article, the rate-dependent behaviour of soft soils is a very special and important feature. It influences both the strength and the stiffness of a soil depending on time. It is, thus, significant to account for time dependence in the geotechnical design when considering the soft soils. This can result in a more robust and economic design of geotechnical structures. Hence, the up-to-date possibilities of regarding creep in practice, which are provided by the existing theories, are reviewed herein. In this article, we first justify the importance of creep effects in practical applications. Next, we present the fundamental theories explaining the time-dependent behaviour of organic soils. Finally, the revision of the existing constitutive models that can be used in numerical simulations involving soft soils is introduced. Both the models that are implemented in the commercial geotechnical software and some more advanced models that take into account further aspects of soft soils behaviour are revised. The assumptions, the basic equations along with the advantages and the drawbacks of the considered models are described.
Źródło:
Studia Geotechnica et Mechanica; 2020, 42, 2; 97-110
0137-6365
2083-831X
Pojawia się w:
Studia Geotechnica et Mechanica
Dostawca treści:
Biblioteka Nauki
Artykuł

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