Effects of the time-dependent behavior on strain softening of diatomaceous soft rock

Liao, Hongjian; Ning, Chunming; Akaishi, Masaru; Long-xiang, Zhou

doi:10.1007/bf03025981

Cited by 6 publications

(6 citation statements)

References 4 publications

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“…The documents named "Diatomaceous Soils and Advances in Geotechnical Engineering" Part I and Part II are a sequence of articles that were structured from documentary sources dating back to the 1990s, taking into account that some representative authors such as Locat [6], Tanaka [28], Holler [29], Liao [30] and Antonides [31], among others, socialized several advances in characterization and mechanical responses in DS, and even an antecedent from 1973 prepared by Petrosyan [32] was included. These documentary sources to date continue to be cited quite frequently.…”

Section: Methodsmentioning

confidence: 99%

Diatomaceous Soils and Advances in Geotechnical Engineering—Part II

Zuluaga-Astudillo,

Slebi-Acevedo,

Ruge

et al. 2023

Buildings

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In the geotechnical area, advances in diatomaceous soil research are laconic and mainly oriented towards understanding the primary soil response (typical characterization methods) considering observation and experience (failures in construction processes or unexpected laboratory results) more than following a scientific method. Coincident results have been evidenced in the correspondence between the content of frustules, the effective friction angle and the water retention capacity. However, the variables and processes that control some mechanical behaviors have yet to be documented in the literature, such as the level of fracturing of the frustules and its relation with interlocked behavior, compressibility and shear strength. In addition to the bibliographic background, SEM microscopy records are presented. These facilitate the understanding of the described phenomena. The images highlight the level of deterioration, the environment, the morphology and the pores present in diatoms of different origins. The morphology (as a function of the species) of intact or fractured frustules (depending on the stress record) affects the mechanical responses and volumetric variations of the diatomaceous deposits. Furthermore, this review presents some emerging research lines in diatomaceous soils, such as the subjection of structures to geotechnical centrifuge conditions, some constitutive models and the criteria for developing water retention curves.

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Section: Methodsmentioning

confidence: 99%

Diatomaceous Soils and Advances in Geotechnical Engineering—Part II

Zuluaga-Astudillo,

Slebi-Acevedo,

Ruge

et al. 2023

Buildings

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“…There are totally seven unknown parameters. They can be determined by conventional geotechnical experiments [7,8] , shown in Table 1 As for consolidated undrained triaxial shear tests, the differential equations can be written as…”

Section: B )mentioning

confidence: 99%

Constitutive Model of Strain Softening for Soft Rock

Liao

2011

AMR

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This paper aims to study the strain softening behavior of soft rock. A modified equation of unified strength theory is proposed that is convenient to be applied in geotechnical engineering where compression is customarily taken as positive. And also the limit line on deviatoric plane of this modified equation is derived and introduced into the three dimensional (3D) elastic viscoplastic constitutive model of Yin and Graham. Parameters of the model are determined from experiments of the diatom soft rock specimens. Numerical simulations are performed to compare the strain softening behavior predicted in this paper and triaxial experimental results. Simulation results show that the proposed model can accurately describe the strain softening of soft rock.

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“…ATTENTION: The Singapore Copyright Act applies to the use of this document. Nanyang Technological University Library x (Liao, et al, 1998) (Liao, et al, 1998) Most of the work in the artificial NN literature concentrates on finding a single network. However, a single network found using the training set alone may not be the best network on the test set (i.e.…”

Section: Discussionmentioning

confidence: 99%

“…Many material models have been proposed to describe the stress-strain relationship after the peak strength of the soil-like materials. For mudstone (or soft rock), a modified Cam Clay model (Figure 4.8) has been used to estimate the stress-straintime relationship (Liao, et al, 1998). The nonlinear constitutive law of soft rock is very complex, especially when the strain rate effect is considered.…”

Section: The Stress-strain-time Relationship Modeling Of Mudstonementioning

confidence: 99%

“…The nonlinear constitutive law of soft rock is very complex, especially when the strain rate effect is considered. Therefore, it is not convenient to build a mathematical expression of the stress-strain-time (Liao, et al, 1998) In general, there are four key parameters in the stress-strain-time relationship: strain ε , mean effective stress p′ , deviator stress q and strain rate ε& . Triaxial experiments were conducted on diatomaceous mudstones (Liao, et al, 1998 However, it is quite difficult to establish a universally acceptable PPV damage criterion for rock mass because it depends on many factors such as the material properties of the intact rock, the joint spacing, joint distribution and orientation.…”

Section: The Stress-strain-time Relationship Modeling Of Mudstonementioning

confidence: 99%

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Development of neural networks in civil engineering applications

Zhang¹

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Artificial neural networks (NNs) have been widely studied for their ability to correctly learn the true distribution of the data from a sample. This ability is called generalization. NNs are a new generation of information progressing systems that are deliberately constructed to make use of some of the organization principles that characterize the human brain. They are parallel computational models comprised of densely interconnected adaptive processing units. The collective behavior of an NN, like a human brain, demonstrates the ability to learn, recall, and generalize from training patterns or data. The motivation behind combining a number of NNs is to improve upon a network's generalization performance. Recently, NNs have been intensively studied with impressive successes across a wide variety of applications. These include pattern classification, speech synthesis and recognition, function approximation, combinatorial optimization, and nonlinear system modeling and control (Fausett, 1994). Adeli and Yeh (1989) were the first to apply the NNs in civil and structure engineering. Since then, a large number of applications of NNs in civil engineering areas have been done. These applications include pattern recognition and machine learning in structural analysis and design, structure system identification, structural control, structural material characterization and modeling, construction scheduling and management, construction cost estimation, etc (Adeli, 2001).

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Effects of the time-dependent behavior on strain softening of diatomaceous soft rock

Cited by 6 publications

References 4 publications

Diatomaceous Soils and Advances in Geotechnical Engineering—Part II

Diatomaceous Soils and Advances in Geotechnical Engineering—Part II

Constitutive Model of Strain Softening for Soft Rock

Development of neural networks in civil engineering applications

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