caa a22 4500 467930694 CHVBK 20180406152942.0 cr unu---uuuuu 170328e20061201xx s 000 0 eng 10.1007/s10706-006-6807-6 doi (NATIONALLICENCE)springer-10.1007/s10706-006-6807-6 The displacement computation and construction pre-control of a foundation pit in Shanghai utilizing FEM and intelligent methods [Elektronische Daten] [You-Liang Chen, Rafig Azzam, Fu-Bo Zhang] Controlling the displacements of foundation pit walls and supporting structures is one of the most effective measures for ensuring safety of foundation pit construction. Because of this, the accurate displacement computation of foundation pit walls and supporting structures is paid great attention by geotechnical scientists and engineers. In this paper, the three-dimensional displacement field of Deping Station foundation pit, which is part of Shanghai Track Traffic Line 6 project, is computed by means of ANSYS software. Artificial neural networks (ANNs) are a broad category of computer algorithms which have the ability to learn some target values (desired output) from a set of chosen input data that has been introduced to the network. The ANNs have very excellent ability in simulating nonlinear and complicated problems. In the current paper, the authors try to combine FEM method with ANNs so as to improve the computational accuracy. Basing on the computed results, fuzzy control theory is applied to construction pre-control. The application effect is satisfactory. The research result of current paper is very helpful for geotechnical construction and the development of geotechnical theory. Springer, 2006 foundation pit nationallicence FEM method nationallicence artificial neural networks nationallicence fuzzy logic nationallicence construction pre-control nationallicence Chen You-Liang Department of Civil Engineering, Shanghai University, 200072, Shanghai, PR China aut Azzam Rafig Department of Engineering Geology and Hydrogeology, RWTH-Aachen University, 52064, Aachen, Germany aut Zhang Fu-Bo Department of Civil Engineering, Shanghai University, 200072, Shanghai, PR China aut Geotechnical & Geological Engineering Kluwer Academic Publishers 24/6(2006-12-01), 1781-1801 0960-3182 24:6<1781 2006 24 10706 https://doi.org/10.1007/s10706-006-6807-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10706-006-6807-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Chen You-Liang Department of Civil Engineering, Shanghai University, 200072, Shanghai, PR China aut NATIONALLICENCE 700 1- Azzam Rafig Department of Engineering Geology and Hydrogeology, RWTH-Aachen University, 52064, Aachen, Germany aut NATIONALLICENCE 700 1- Zhang Fu-Bo Department of Civil Engineering, Shanghai University, 200072, Shanghai, PR China aut NATIONALLICENCE 773 0- Geotechnical & Geological Engineering Kluwer Academic Publishers 24/6(2006-12-01), 1781-1801 0960-3182 24:6<1781 2006 24 10706 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer