Influence of Surface Roughness and Particle Characteristics on Soil–Structure Interactions: A State-of-the-Art Review

The study of soil–structure interface behavior contributes to the fundamental understanding of engineering performance and foundation design optimization. Previous research studies the effect of soil characteristics and surface roughness property on the soil–material interface mechanism via interfac...

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Main Authors: Runshen Wang, Dominic E. L. Ong, Mohammud I. Peerun, Dong-Sheng Jeng
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Geosciences
Subjects:
Online Access:https://www.mdpi.com/2076-3263/12/4/145
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author Runshen Wang
Dominic E. L. Ong
Mohammud I. Peerun
Dong-Sheng Jeng
author_facet Runshen Wang
Dominic E. L. Ong
Mohammud I. Peerun
Dong-Sheng Jeng
author_sort Runshen Wang
collection DOAJ
description The study of soil–structure interface behavior contributes to the fundamental understanding of engineering performance and foundation design optimization. Previous research studies the effect of soil characteristics and surface roughness property on the soil–material interface mechanism via interface shear test. The reviews utilizing past established laboratory studies and more recent tests based on state-of-the-art technologies reveal that surface roughness significantly affects interface shear performances in the studies of soil–structure interactions, especially in peak shear strength development. A preliminary but original investigative study by the authors was also carried out using a sophisticated portable surface roughness gauge to define the material surface roughness properties in order to study the interface behavior parametrically. Additionally, using the authors’ own original research findings as a proof-of-concept innovation, particle image velocimetry (PIV) technology is applied using a digital single-lens reflex (DSLR) camera to capture sequential images of particle interactions in a custom-built transparent shear box, which validate the well-established four-stage soil shearing model. The authors also envisaged that machine learning, e.g., artificial neural network (ANN) and Bayesian inference method, amongst others, as well as numerical modeling, e.g., discrete element method (DEM), have the potential to also promote research advances on interface shear mechanisms, which will assist in developing a greater understanding in the complex study of soil–structure interactions.
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spelling doaj.art-10fb8f402d66423f9c60d5a7c2737dfa2023-12-01T20:57:45ZengMDPI AGGeosciences2076-32632022-03-0112414510.3390/geosciences12040145Influence of Surface Roughness and Particle Characteristics on Soil–Structure Interactions: A State-of-the-Art ReviewRunshen Wang0Dominic E. L. Ong1Mohammud I. Peerun2Dong-Sheng Jeng3School of Engineering and Built Environment, Griffith University, Nathan 4111, AustraliaSchool of Engineering and Built Environment, Griffith University, Nathan 4111, AustraliaSchool of Engineering and Built Environment, Griffith University, Nathan 4111, AustraliaSchool of Engineering and Built Environment, Griffith University, Gold Coast Campus, Southport 4222, AustraliaThe study of soil–structure interface behavior contributes to the fundamental understanding of engineering performance and foundation design optimization. Previous research studies the effect of soil characteristics and surface roughness property on the soil–material interface mechanism via interface shear test. The reviews utilizing past established laboratory studies and more recent tests based on state-of-the-art technologies reveal that surface roughness significantly affects interface shear performances in the studies of soil–structure interactions, especially in peak shear strength development. A preliminary but original investigative study by the authors was also carried out using a sophisticated portable surface roughness gauge to define the material surface roughness properties in order to study the interface behavior parametrically. Additionally, using the authors’ own original research findings as a proof-of-concept innovation, particle image velocimetry (PIV) technology is applied using a digital single-lens reflex (DSLR) camera to capture sequential images of particle interactions in a custom-built transparent shear box, which validate the well-established four-stage soil shearing model. The authors also envisaged that machine learning, e.g., artificial neural network (ANN) and Bayesian inference method, amongst others, as well as numerical modeling, e.g., discrete element method (DEM), have the potential to also promote research advances on interface shear mechanisms, which will assist in developing a greater understanding in the complex study of soil–structure interactions.https://www.mdpi.com/2076-3263/12/4/145interface shear testsurface roughnesscritical roughnessrandom or ribbed surface roughnessfriction developmentPIV technology
spellingShingle Runshen Wang
Dominic E. L. Ong
Mohammud I. Peerun
Dong-Sheng Jeng
Influence of Surface Roughness and Particle Characteristics on Soil–Structure Interactions: A State-of-the-Art Review
Geosciences
interface shear test
surface roughness
critical roughness
random or ribbed surface roughness
friction development
PIV technology
title Influence of Surface Roughness and Particle Characteristics on Soil–Structure Interactions: A State-of-the-Art Review
title_full Influence of Surface Roughness and Particle Characteristics on Soil–Structure Interactions: A State-of-the-Art Review
title_fullStr Influence of Surface Roughness and Particle Characteristics on Soil–Structure Interactions: A State-of-the-Art Review
title_full_unstemmed Influence of Surface Roughness and Particle Characteristics on Soil–Structure Interactions: A State-of-the-Art Review
title_short Influence of Surface Roughness and Particle Characteristics on Soil–Structure Interactions: A State-of-the-Art Review
title_sort influence of surface roughness and particle characteristics on soil structure interactions a state of the art review
topic interface shear test
surface roughness
critical roughness
random or ribbed surface roughness
friction development
PIV technology
url https://www.mdpi.com/2076-3263/12/4/145
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AT mohammudipeerun influenceofsurfaceroughnessandparticlecharacteristicsonsoilstructureinteractionsastateoftheartreview
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