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Nonlinear time history analysis of a super-tall building with setbacks in elevation
steel reinforced concrete frame core wall super-tall building setback nonlinear time history analysis
2014/4/10
Standing 260m above the ground, the super-tall building employs steel reinforced concrete frame and reinforced concrete core wall system strengthened by a belt truss story to resist lateral and vertic...
Nonlinear Analysis of Reinforced Concrete Frames by a Combined Method
Nonlinear Analysis Combined Method
2010/3/5
A more realistic and hence nonlinear analysis of reinforced concrete structures is becoming increasingly important. A combination of the displacement method, the transfer matrix method, and a cross-se...
Fuzzy Optimization of Geometrical Nonlinear Space Trusses Design
Nonlinear space truss Fuzzy sets Membership function Multiobjective Fuzzy optimization,
2009/10/10
This paper presents a general algorithm for nonlinear space truss system optimization with fuzzy constraints and fuzzy parameters. The analysis of the space truss system is performed with the ANSYS pr...
A Constant Displacement Iteration Algorithm for Nonlinear Static Push-over Analyses
Nonlinear static push-over seismic structural analysis algorithm
2009/2/20
This paper presents the formulation and implementation of a new static push-over analysis algorithm for the seismic rehabilitation of building frames, in accordance with “NEHRP Guidelines for the Seis...
Nonlinear Models of Reinforced and Post-tensioned Concrete Beams
Concrete post-tensioning finite element modelling
2009/2/20
Commercial finite element software generally includes dedicated numerical models for the nonlinear response of concrete under loading. These models usually include a smeared crack analogy to account f...
Nonlinear modeling with confidence estimation usingBayesian neural networks
Back-propagation neural network Bayesian neural network deep beams neural network
2009/2/19
There is a growing interest in the use of neural networks in civil engineering to model complicated nonlinearity problems. A recent enhancement to the conventional back-propagation neural network alg...