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Journal of the Chinese Institute of Engineers Volume 17, 1994 - Issue 5
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Soil parameter determination for deep excavation analysis by optimization

Chang‐Yu Ou Department of Construction Engineering, National Taiwan Institute of Technology, Taipei, Taiwan 106, R.O.C.
&
Yu‐Geng Tang Department of Architecture Engineering, Hwa Hsia Junior College of Technology, Taipei, Taiwan 235, R.O.C.
Pages 671-688 | Received 23 Jul 1993, Accepted 29 Oct 1993, Published online: 04 May 2011

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T. Miranda, D. Dias, M. Pinheiro & S. Eclaircy-Caudron. (2016) Tunnel engineering – influence of the type and the quantity of measurements in the back analysis of geomechanical parameters. European Journal of Environmental and Civil Engineering 20:1, pages 60-78.
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Richard J. Finno. (2010) Evaluating Excavation Support Systems to Protect Adjacent Structures (The 2010 Michael W. O’Neill Lecture). DFI Journal - The Journal of the Deep Foundations Institute 4:2, pages 3-19.
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Articles from other publishers (30)

Chia-Feng Hsu, Chien-Yi Wu & Yeou-Fong Li. (2023) Development of a Displacement Prediction System for Deep Excavation Using AI Technology. Symmetry 15:11, pages 2093.
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Sangrae Kim & Richard J. Finno. (2020) Inverse analysis of Hypoplastic Clay model for computing deformations caused by excavations. Computers and Geotechnics 122, pages 103499.
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An-Jui Li, Abdoulie Fatty & I-Tung Yang. (2020) Use of Evolutionary Computation to Improve Rock Slope Back Analysis. Applied Sciences 10:6, pages 2012.
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Wengang ZhangWengang Zhang. 2020. MARS Applications in Geotechnical Engineering Systems. MARS Applications in Geotechnical Engineering Systems 85 102 .
Brahim Lafifi, Ammar Rouaiguia & Nassira Boumazza. (2019) Optimization of Geotechnical parameters using Taguchi’s design of experiment (DOE), RSM and desirability function. Innovative Infrastructure Solutions 4:1.
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Sangrae Kim & Richard J. Finno. (2019) Inverse Analysis of a Supported Excavation in Chicago. Journal of Geotechnical and Geoenvironmental Engineering 145:9.
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Yingyan Jin, Giovanna Biscontin & Paolo Gardoni. (2018) A Bayesian definition of ‘most probable’ parameters. Geotechnical Research 5:3, pages 130-142.
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Wengang Zhang, Yanmei Zhang & Anthony T.C. Goh. (2017) Multivariate adaptive regression splines for inverse analysis of soil and wall properties in braced excavation. Tunnelling and Underground Space Technology 64, pages 24-33.
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Richard J. Finno, Zhenhao Shi, Sangre Kim, Nathan Crafton & Daniel Rendell. 2017. Holistic Simulation of Geotechnical Installation Processes. Holistic Simulation of Geotechnical Installation Processes 1 28 .
Linlong Mu & Maosong Huang. (2016) Small strain based method for predicting three-dimensional soil displacements induced by braced excavation. Tunnelling and Underground Space Technology 52, pages 12-22.
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Dohyun Park & Eui-Seob Park. (2015) Inverse parameter fitting of tunnels using a response surface approach. International Journal of Rock Mechanics and Mining Sciences 77, pages 11-18.
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Shih-Hsuan WuJianye ChingChang-Yu Ou. (2014) Probabilistic observational method for estimating wall displacements in excavations. Canadian Geotechnical Journal 51:10, pages 1111-1122.
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Lei Wang, Zhe Luo, Junhua Xiao & C. Hsein Juang. (2013) Probabilistic Inverse Analysis of Excavation-Induced Wall and Ground Responses for Assessing Damage Potential of Adjacent Buildings. Geotechnical and Geological Engineering 32:2, pages 273-285.
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N. Moreira, T. Miranda, M. Pinheiro, P. Fernandes, D. Dias, L. Costa & J. Sena-Cruz. (2013) Back analysis of geomechanical parameters in underground works using an Evolution Strategy algorithm. Tunnelling and Underground Space Technology 33, pages 143-158.
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Agus Setyo Muntohar & Hung-Jiun Liao. (2013) Finite Element Analysis of the Movement of the Tie-Back Wall in Alluvial-Silty Soils. Procedia Engineering 54, pages 176-187.
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Youssef M. A. Hashash, Hwayeon Song & Abdolreza Osouli. (2011) Three-dimensional inverse analyses of a deep excavation in Chicago clays. International Journal for Numerical and Analytical Methods in Geomechanics 35:9, pages 1059-1075.
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Richard J. Finno. (2010) Recent Trends in Supported Excavation Practice. Recent Trends in Supported Excavation Practice.
Youssef M.A. Hashash, Séverine Levasseur, Abdolreza Osouli, Richard Finno & Yann Malecot. (2010) Comparison of two inverse analysis techniques for learning deep excavation response. Computers and Geotechnics 37:3, pages 323-333.
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Abdolreza OsouliYoussef M. A. HashashHwayeon Song. (2010) Interplay between Field Measurements and Soil Behavior for Capturing Supported Excavation Response. Journal of Geotechnical and Geoenvironmental Engineering 136:1, pages 69-84.
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Matt Schuster, C. Hsein Juang & Der-Her Lee. (2009) Updating of Soil Parameters for Improving the Accuracy of the Excavation-Induced Building Damage Assessment. Updating of Soil Parameters for Improving the Accuracy of the Excavation-Induced Building Damage Assessment.
Yu-Geng Tang & Gordon Tung-Chin Kung. (2009) Application of nonlinear optimization technique to back analyses of deep excavation. Computers and Geotechnics 36:1-2, pages 276-290.
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Rafał F. Obrzud, Laurent Vulliet & Andrzej Truty. (2008) Optimization framework for calibration of constitutive models enhanced by neural networks. International Journal for Numerical and Analytical Methods in Geomechanics 33:1, pages 71-94.
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Evan C. HsiaoMatt SchusterC. Hsein JuangGordon T. Kung. (2008) Reliability Analysis and Updating of Excavation-Induced Ground Settlement for Building Serviceability Assessment. Journal of Geotechnical and Geoenvironmental Engineering 134:10, pages 1448-1458.
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C. Rechea, S. Levasseur & R. Finno. (2008) Inverse analysis techniques for parameter identification in simulation of excavation support systems. Computers and Geotechnics 35:3, pages 331-345.
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Michele Calvello, Leonardo Cascini & Giuseppe Sorbino. (2007) A numerical procedure for predicting rainfall‐induced movements of active landslides along pre‐existing slip surfaces. International Journal for Numerical and Analytical Methods in Geomechanics 32:4, pages 327-351.
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S. Levasseur, Y. Malécot, M. Boulon & E. Flavigny. (2007) Soil parameter identification using a genetic algorithm. International Journal for Numerical and Analytical Methods in Geomechanics 32:2, pages 189-213.
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Youssef M. A. HashashCamilo MarulandaJamshid GhaboussiSungmoon Jung. (2006) Novel Approach to Integration of Numerical Modeling and Field Observations for Deep Excavations. Journal of Geotechnical and Geoenvironmental Engineering 132:8, pages 1019-1031.
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Richard J. FinnoMichele Calvello. (2005) Supported Excavations: Observational Method and Inverse Modeling. Journal of Geotechnical and Geoenvironmental Engineering 131:7, pages 826-836.
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Michele Calvello & Richard J Finno. (2004) Selecting parameters to optimize in model calibration by inverse analysis. Computers and Geotechnics 31:5, pages 410-424.
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J. C. JanShih-Lin Hung, S. Y. ChiJ. C. Chern. (2002) Neural Network Forecast Model in Deep Excavation. Journal of Computing in Civil Engineering 16:1, pages 59-65.
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