Comparison of two inverse analysis techniques for learning deep excavation response

Computers and Geotechnics

Volumn 37, Issue 3, 2010, Pages 323-333

  Hashash, Youssef M A ^a   Levasseur, Séverine ^b   Osouli, Abdolreza ^a   Finno, Richard ^c   Malecot, Yann ^d  

^a University of Illinois at Urbana Champaign   (United States)

^b UNIVERSITY OF LIÈGE   (Belgium)

^c Northwestern University   (United States)

^d UNIV GRENOBLE ALPES   (France)

Author keywords

Excavation; Inverse analysis; Neural network material models; Optimization; Soil behavior

Indexed keywords

CHICAGO; CONSTITUTIVE BEHAVIORS; DEEP EXCAVATION; DESIGN AND CONSTRUCTION PROCESS; FIELD MEASUREMENT; GA OPTIMIZATION; GENETIC ALGORITHM APPROACH; GLOBAL SEARCH TECHNIQUES; HARDENING SOIL MODELS; INVERSE ANALYSIS; LATERAL WALLS; MATERIAL MODELS; MATERIAL PROPERTY; NON-LINEAR CONSTRAINTS; NON-LINEARITY; OBJECTIVE FUNCTIONS; PARAMETER OPTIMIZATION; SELF-LEARNING; SMALL STRAINS; SOIL BEHAVIOR; SOIL BEHAVIORS; SOIL MODEL; SURFACE SETTLEMENTS;

CONSTRAINED OPTIMIZATION; EXCAVATION; GENETIC ALGORITHMS; GEOLOGIC MODELS; GEOTECHNICAL ENGINEERING; MATERIALS; NEURAL NETWORKS; NUMERICAL METHODS; SETTLEMENT OF STRUCTURES; SOILS; STRUCTURAL OPTIMIZATION;

SURFACES;

ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; COMPUTER SIMULATION; EMPIRICAL ANALYSIS; EXCAVATION; FINITE ELEMENT METHOD; GENETIC ALGORITHM; GEOTECHNICAL ENGINEERING; INVERSE ANALYSIS; NUMERICAL MODEL; OPTIMIZATION; SOIL-STRUCTURE INTERACTION; STRAIN;

CHICAGO; ILLINOIS; UNITED STATES;

EID: 76549101662     PISSN: 0266352X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compgeo.2009.11.005     Document Type: Article

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