Site characterisation is a cornerstone of geotechnical and rock engineering. “Data-driven site characterisation” refers to any methodology that relies solely on measured data, both site-specific data collected for the current project existing type from past stages same or projects at site, neighbouring sites, beyond. It an open question what data-driven (DDSC) can achieve how useful are outcomes practice, but this “value data” major interest given rapid pace digital transformation in many...

Modeling only constitutes one aspect of decision making. The prevailing limitation applying modeling to practice is the absence explicit consideration uncertainties. This review paper covers uncertainty quantification (soil properties, stratification, and model performance) calculation with a focus on how it enhances role in making (reliability analysis, reliability-based design, inverse analysis). key output from reliability analysis probability failure, where "failure" defined as any...

The nonlinear, history-dependent macroscopic behavior of a granular material is rooted in the micromechanics between constituent particles and irreversible, plastic deformations reflected by changes microstructure. discrete element method (DEM) can predict evolution microstructure resulting from interparticle interactions. However, micromechanical parameters at contact particle levels are generally unknown because diversity materials with respect to their surfaces, shapes, disorder...

This report presents the key talking points in First Workshop on Future of Machine Learning Geotechnics (FOMLIG), that include data infrastructure, geotechnical context, computational cost, and human judgment. On first point, it was argued further growth sharing needs stronger demonstration value to practice protection privacy. second significant progress has been made addressing site specificity (site recognition challenge). third is costly interpret monitoring context machine learning...

This paper presents a method of subsurface modelling based on Markov random field (MRF) model called Potts model. is an undirected graphical and has been applied in image processing such as denoising, restoration inpainting. The proposed simple requires only few borehole data soil types both training inference stages. Current implementations the require substantial for training, they are not suitable modelling. was demonstrated through numerical examples 2D 3D virtual grounds real case...

Site characterization is one of the most crucial steps for decision making in geotechnical engineering and to fullest extent possible should be conducted based on objective data. The current reliance judgment interpret data directly cannot exploit rapid growth data, machine learning, other digital technologies. Data-driven site (DDSC) has received much attention an emerging field called data-centric geotechnics, because a knowledge ground fundamental engineering. As result, many DDSC methods...

The calibration of discrete element method (DEM) simulations is typically accomplished in a trial-and-error manner. It generally lacks objectivity and filled with uncertainties. To deal these issues, the sequential quasi-Monte Carlo (SQMC) filter employed as novel approach to calibrating DEM models granular materials. Within Bayesian framework, posterior probability density functions (PDFs) micromechanical parameters, conditioned experimentally obtained stress–strain behavior soils, are...

The ISSMGE TC309/TC304/TC222 and ASCE Geo-Institute Risk Assessment Management Committee Fourth Machine Learning (ML) in Geotechnics Dialogue was held at the Okayama Convention Center on 5 December 2023. dialogue focused "machine learning supremacy projects", which involve use of novel ML techniques to analyse emerging data, potentially bringing disruptive value transform research practice. discussions centred around four real-world projects covering tunnelling, pile foundations, geophysical...

Decision making in geotechnical engineering is always related to a project carried out at specific site. It natural for data-driven site characterization (DDSC) attract the most attention data-centric geotechnics. This paper proposed eight benchmark examples and benchmarking procedure support unbiased competitive evaluation of emerging ML methods. The primary goal DDSC bring value "data first" agenda practice, specifically produce 3D stratigraphic map subsurface volume below full-scale...

SUMMARY A computational method, incorporating the finite element model (FEM) into data assimilation using particle filter, is presented for identifying elasto‐plastic material properties based on sequential measurements under known changing traction boundary conditions to overcome some difficulties in parameters problems from which existing inverse analysis strategies have suffered. soil–water coupled problem, uses constitutive model, dealt with as geotechnical application. Measured...

In July 2018, heavy rain and a large amount of damage to geo-structures natural slopes were reported in Okayama, Japan. particular, the area surrounding Oda River System, 52 people drowned due breach river banks. Besides flooding rivers, earth-fill dams many water reservoirs damaged. The stability number Setouchi is very important. Heavy often associated with collapse slopes. shallow slope failures or debris flows occurred over wide area, particularly western part prefecture. Through...

Abstract The aim of this study was to obtain comprehensive data regarding the hemocompatibility diamond-like carbon (DLC)-coated expanded polytetrafluoroethylene (ePTFE). DLC increased hydrophilicity and smoothened surface fibrillar structure, respectively, ePTFE. DLC-coated ePTFE had more albumin fibrinogen adsorption less platelet adhesion than uncoated There were scarce red cell attachments in vitro human vivo animal (rat swine) whole blood contact tests both a similar but marginally...

廃石膏ボードは,中間処理業者によって紙と石膏に分離され,石膏の一部は石膏業者等によって再利用・リサイクルされているものの,そのほとんどが産業廃棄物として埋立て処分されている。この廃石膏ボードを建設材料として有効利用できれば,廃石膏ボードの処理問題や建設産業における天然資源の枯渇問題を解決できると考えられる。本研究では,廃石膏ボードから再生した半水石膏の地盤改良材としての有効性について検討するため,豊浦標準砂およびMCクレーに対して半水石膏を種々の添加率で添加し締固めた試料に対し一軸圧縮試験を行い,最適含水比や最大乾燥密度に代表される締固め特性や一軸圧縮特性と半水石膏添加率との関係を解明することによって,半水石膏が地盤改良材として十分に適用可能であることを示唆した。

The present paper showcases a numerical simulation of the long-term behavior foundation and an evaluation pore water pressure on Kobe Airport Island. To calculate ground pressure, analysis is implemented using elasto-plastic FEM for soil–water coupled problems with Cam-clay model. However, difficulties still remain in estimating parameters because nonlinearity materials uncertainty initial/boundary conditions. account these difficulties, data assimilation technique, particle filter, adopted...

Data assimilation with a particle filter (PF) has attracted attention for use in Bayesian updating. However, PFs have problem known as degeneracy, where weights tend to concentrate into only few particles after iterations (all other degenerate), which causes poor computational performance. This study discusses the applicability of PF updating model parameters and probabilistic prediction updated proposes method that uses limit degeneracy. The proposed method, called iterative importance...

近年，産業廃棄物の大量化に伴う処分場不足が懸念されており，産業廃棄物のリサイクルが循環型社会形成のためにも重要となってきている。廃石膏ボードは，建築物や住宅の解体によって発生する廃棄物であるが，もしこの廃石膏ボードを建設材料として有効利用できれば，廃石膏ボードの処理問題や建設産業における天然資源の枯渇問題を解決できると考えられる。本研究では，廃石膏ボードのリサイクル推進のために，廃石膏ボードから再生した半水石膏を混入したセメント安定処理土の一軸圧縮特性について取りまとめている。半水石膏は，廃石膏ボードから得られる二水石膏を130°C以上で加熱することによって得られ，水と反応して短時間で硬化するという性質を有しており，その地盤改良材としての有効利用に期待されている。また，半水石膏は中性無害であるため，これまで使用されてきた強アルカリ性の石灰やセメント等に比べ環境に調和的である。実験結果から，半水石膏の添加率と一軸圧縮強さ，乾燥密度および含水比との相関関係が明らかとなり，廃石膏ボードから再生した半水石膏の地盤改良材としての有効性が示唆された。

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