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Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards Volume 16, 2022 - Issue 1: Special Issue: Data analytics in geotechnical and geological engineering Guest Editor: Yu Wang,Wengang Zhang, Xiaohui Qi, and Jianye Ching
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Articles

Challenges in data-driven site characterization

Kok-Kwang Phoona Dept. of Civil and Environmental Engineering, National Univ. of Singapore, SingaporeCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-2577-8639
ORCID Icon,
Jianye Chingb Dept. of Civil Engineering, National Taiwan University, Taipei, TaiwanORCID Iconhttps://orcid.org/0000-0001-6028-1674
ORCID Icon &
Takayuki Shukuc Dept. of Environmental Management Engineering, Okayama Univ., Okayama, JapanORCID Iconhttps://orcid.org/0000-0002-0745-1010
ORCID Icon
Pages 114-126 | Received 31 Oct 2020, Accepted 23 Feb 2021, Published online: 09 Mar 2021

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Yu Lei, Jinsong Huang, Yifei Cui, Shui-Hua Jiang, Shengnan Wu & Jianye Ching. (2023) Time capsule for landslide risk assessment. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17:4, pages 613-634.
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Peiping Li & Yu Wang. (2023) Interpretation of spatio-temporal variation of precipitation from spatially sparse measurements using Bayesian compressive sensing (BCS). Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17:3, pages 554-571.
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Marcin Chwała, Kok-Kwang Phoon, Marco Uzielli, Jie Zhang, Limin Zhang & Jianye Ching. (2023) Time capsule for geotechnical risk and reliability. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17:3, pages 439-466.
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K. K. Phoon, L. M. Zhang & Z. J. Cao. (2023) Special issue on “Machine learning and AI in geotechnics”. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17:1, pages 1-6.
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Akihiro Shioi, Yu Otake, Ikumasa Yoshida, Shogo Muramatsu & Susumu Ohno. (2023) Data-driven approximation of geotechnical dynamics to an equivalent single-degree-of-freedom vibration system based on dynamic mode decomposition. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17:1, pages 77-97.
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Junjie Ma, Tianbin Li, Gang Yang, Kunkun Dai, Chunchi Ma, Hao Tang, Gangwei Wang, Jianfeng Wang, Bo Xiao & Lubo Meng. (2023) A real-time intelligent classification model using machine learning for tunnel surrounding rock and its application. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17:1, pages 148-168.
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J. Morgenroth, K. Kalenchuk, L. Moreau-Verlaan, M. A. Perras & U. T. Khan. (2023) A novel long-short term memory network approach for stress model updating for excavations in high stress environments. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17:1, pages 196-216.
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Takayuki Shuku & Kok-Kwang Phoon. (2023) Data-driven subsurface modelling using a Markov random field model. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17:1, pages 41-63.
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Kok-Kwang Phoon, Zi-Jun Cao, Zhongqiang Liu & Jianye Ching. (2023) Report for ISSMGE TC309/TC304/TC222 Third ML dialogue on “Data-Driven Site Characterization (DDSC)”. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17:1, pages 227-238.
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Kok-Kwang Phoon & Wengang Zhang. (2023) Future of machine learning in geotechnics. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 17:1, pages 7-22.
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Xiao Han, Wenping Gong, C. Hsein Juang, Victor Mwango Bowa & Sara Khoshnevisan. (2022) CPTu-SPT correlation analyses based on pairwise data in Southwestern Taiwan. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 16:4, pages 622-639.
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Kok-Kwang Phoon, Takayuki Shuku, Jianye Ching & Ikumasa Yoshida. (2022) Benchmark examples for data-driven site characterisation. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 16:4, pages 599-621.
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T. Länsivaara, K. K. Phoon & J. Ching. (2022) What is a characteristic value for soils?. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 16:2, pages 199-224.
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Xiaohui Qi, Zhiyong Yang & Jian Chu. (2022) Prediction of interface of geological formations using generalized additive model. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 16:1, pages 127-139.
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Yu Wang, Yue Hu & Kok-Kwang Phoon. (2022) Non-parametric modelling and simulation of spatiotemporally varying geo-data. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 16:1, pages 77-97.
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Jianye Ching, Kok-Kwang Phoon, Zhiyong Yang & Armin W. Stuedlein. (2022) Quasi-site-specific multivariate probability distribution model for sparse, incomplete, and three-dimensional spatially varying soil data. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 16:1, pages 53-76.
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Yu Wang, Chao Shi & Xu Li. (2022) Machine learning of geological details from borehole logs for development of high-resolution subsurface geological cross-section and geotechnical analysis. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 16:1, pages 2-20.
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Articles from other publishers (20)

Antonis Mavritsakis, Timo SchweckendiekAna TeixeiraEleni SmyrniouJonathan Nuttall. (2023) Bayesian Analysis of Benchmark Examples for Data-Driven Site Characterization. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 9:2.
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Kok-Kwang Phoon, Takayuki Shuku, Jianye Ching & Ikumasa Yoshida. (2023) Benchmarking Data-Driven Site Characterization. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 9:2.
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Kok-Kwang Phoon. (2023) What Geotechnical Engineers Want to Know about Reliability. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 9:2.
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Chao Shi & Yu Wang. (2022) Data-driven sequential development of geological cross-sections along tunnel trajectory. Acta Geotechnica 18:4, pages 1739-1754.
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Jianye Ching & Ikumasa Yoshida. (2023) Data-Drive Site Characterization for Benchmark Examples: Sparse Bayesian Learning versus Gaussian Process Regression. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 9:1.
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Sohyun Cho, Han-Saem Kim & Hyunki Kim. (2023) Locally Specified CPT Soil Classification Based on Machine Learning Techniques. Sustainability 15:4, pages 2914.
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Solve Hov & David Gaharia. (2023) Geotechnical characterization of index and deformation properties of Stockholm clays. AIMS Geosciences 9:2, pages 258-284.
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Kok-Kwang Phoon & Jianye Ching. 2023. 5th International Conference on New Developments in Soil Mechanics and Geotechnical Engineering. 5th International Conference on New Developments in Soil Mechanics and Geotechnical Engineering 49 61 .
Jianye Ching, Kok-Kwang Phoon & Chun-Ting Wu. (2022) Data-centric quasi-site-specific prediction for compressibility of clays. Canadian Geotechnical Journal 59:12, pages 2033-2049.
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Chao Shi & Yu Wang. (2022) Machine learning of three-dimensional subsurface geological model for a reclamation site in Hong Kong. Bulletin of Engineering Geology and the Environment 81:12.
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Jiabao Xu, Yu Wang & Lulu Zhang. (2022) Fusion of geotechnical and geophysical data for 2D subsurface site characterization using multi-source Bayesian compressive sampling. Canadian Geotechnical Journal 59:10, pages 1756-1773.
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Atma SharmaJianye Ching & Kok-Kwang Phoon. (2022) A Hierarchical Bayesian Similarity Measure for Geotechnical Site Retrieval. Journal of Engineering Mechanics 148:10.
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Xinyue LuK. K. Phoon, Chengshun XuXiuli DuChong Tang. (2022) A Probabilistic Risk Assessment Approach for Surface Settlement Caused by Metro Tunnel Construction Using Credal Network. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 8:3.
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Xiaojia Ji, Xuanyi Lu, Chunhong Guo, Weiwei Pei & Hui Xu. (2022) Predictions of Geological Interface Using Relevant Vector Machine with Borehole Data. Sustainability 14:16, pages 10122.
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Chao Shi & Yu Wang. (2022) Data-driven construction of Three-dimensional subsurface geological models from limited Site-specific boreholes and prior geological knowledge for underground digital twin. Tunnelling and Underground Space Technology 126, pages 104493.
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Zheng Guan & Yu Wang. (2022) SPT-based probabilistic evaluation of soil liquefaction potential considering design life of civil infrastructures. Computers and Geotechnics 148, pages 104807.
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Chao ShiYu Wang. (2022) Assessment of reclamation-induced consolidation settlement considering stratigraphic uncertainty and spatial variability of soil properties. Canadian Geotechnical Journal 59:7, pages 1215-1230.
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Pin ZhangZhen-Yu YinYin-Fu Jin. (2022) Bayesian neural network-based uncertainty modelling: application to soil compressibility and undrained shear strength prediction. Canadian Geotechnical Journal 59:4, pages 546-557.
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Yuanxin Lei, Huifen Liu & Zhixiong Lu. (2021) Comparisons of Two Approaches for Geotechnical Model Calibration with Scarce Data. Advances in Civil Engineering 2021, pages 1-12.
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Jianye ChingKok-Kwang PhoonYuan-Hsun HoMeng-Chia Weng. (2021) Quasi-site-specific prediction for deformation modulus of rock mass. Canadian Geotechnical Journal 58:7, pages 936-951.
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