Showing papers in "Computers & Structures in 2008"

TL;DR: In this paper, a 3D failure model for predicting the dynamic material response of composite laminates under impact loading is presented, which enables the control of the energy dissipation associated with each failure mode regardless of mesh refinement and fracture plane orientation.

TL;DR: Mixed, probabilistic/non-probabilistic uncertainty modeling is dealt with in the framework of imprecise probabilities possessing the selected components of evidence theory, interval probabilities, and fuzzy randomness by means of interval modeling and fuzzy methods.

TL;DR: In this paper, a concurrent topology optimization method was proposed to simultaneously achieve the optimum structure and material microstructure for minimum system compliance in both micro-scale and macro-scale.

TL;DR: The algorithm is compared with other state-of-the-art SA algorithms and advanced global optimization methods and found better designs than the other SA-based algorithms and converged much more quickly to the optimum than HPSO and HS.

TL;DR: In this article, two new self-adaptive member grouping strategies and a new strategy to set the initial population are discussed, and the effect of the proposed strategies on the performance of the GA for capturing the global optimum is tested on the optimization of 2d and 3d truss structures.

TL;DR: This article presents a methodology to generate explicit decision functions using support vector machines (SVM) and proposes an adaptive sampling scheme that updates the decision function.

TL;DR: In this article, a physically based set of failure criteria, able to predict the various modes of failure of a composite laminated structure, is implemented in finite element models of straight and variable-stiffness panels under compression.

TL;DR: In this article, the authors present an overview and recent progress of the extended finite element method X-FEM in the analysis of crack growth modeling, and summarize the important milestones achieved by the finite element community in the arena of computational fracture mechanics.

TL;DR: In this paper, a reliability-based robust design optimization method is developed using DRM and compared to PMI and PDM for accuracy and efficiency, and the numerical results show that DRM is effective when the number of random variables is small, whereas PMI is more effective when a relatively large number of variables is relatively large.

TL;DR: In this paper, a mesoscale model is adopted to analyze the dynamic tensile behavior of concrete at high strain rates; especially, the effects of the ITZ on the failure properties are analyzed.

TL;DR: Constraint boundary sampling is proposed to build metamodel that can predict optimum point accurately while satisfying constraints and is compared with that with conventional space-filling sampling.

TL;DR: In this paper, the stability of the coupling iterations in the partitioned approach to fluid-structure interaction is investigated and it is shown that the number of coupling iterations increases when the time step decreases or when the structure becomes more flexible.

TL;DR: In this paper, the authors presented the development of a new electromechanical brake system using magnetorheological (MR) fluid, which consists of rotating disks immersed in a MR fluid and enclosed in an electromagnet, where the yield stress of the fluid varies as a function of the magnetic field applied by the electromagnetic field.

TL;DR: In this article, a variable-stiffness conical shell is optimized for maximum fundamental frequency by using an advanced tow-placement machine, which allows in-plane steering of the fibers, resulting in a variable stiffness structure.

TL;DR: An unsupervised methodology based on the self-organizing map of Kohonen is developed and applied to a cross-ply glass-fibre/polyester laminate submitted to a tensile test, and the damage sequence has been identified from the modal nature of the AE waves.

TL;DR: In this article, a novel morphing structure concept is studied using non-linear finite element analysis (FEA), where Bi-stable asymmetrical laminates can be snapped between two geometries through a buckling mechanism that is activated by an applied load.

TL;DR: In this article, the effects of various parameters influencing the dynamic response of railway bridges are investigated and a versatile and computationally efficient numerical model was developed for this purpose, which incorporates three-dimensional multi-body train and finite element bridge subsystems.

TL;DR: In this paper, the authors investigated the response of structural concrete to high rates of loading by using a finite-element (FE) program capable of carrying out 3D nonlinear static and dynamic analyses.

TL;DR: In this article, the principles, equations, and applications of damage modelling and elastic wave propagation, both traditional and state-of-the-art in a review form, are presented.

TL;DR: A modified version of VEPSO algorithm for discrete variables has been developed and implemented successfully for the, multi-objective design optimization of composites.

TL;DR: In this paper, a mathematical model for a double-tube MR damper fabricated at the University of Manchester, UK is developed based on the annular solution and on the compressibility of MR fluid inside the chambers.

TL;DR: In this article, a completely analytical integral algorithm is proposed and applied to the evaluation of nearly singular integrals in boundary element method (BEM) for two-dimensional anisotropic potential problems.

TL;DR: In this article, a simplified vehicle dynamic model is used for trajectory planning, where the driver is considered as a controller that acts on a nonlinear plant (the vehicle) in order to achieve the desired results.

TL;DR: In this paper, the computational performance of adaptive evolution strategies (ESs) in large-scale structural optimization is investigated to achieve the following objectives: (i) to present an adaptive evolution strategy based solution algorithm for efficient optimum design of large structural systems consisting of continuous, discrete and mixed design variables; (ii) to integrate new parameters and methodologies into adaptive ESs, and (iii) to assess successful self-adaptation models of ESs in continuous and discrete structural optimizations.

TL;DR: In this article, a seismic damage identification method for buildings with steel moment-frame structure is presented, which is based on artificial neural networks and modal variables, and the results are successful as concern as the robustness of the method.

TL;DR: In this paper, a non-linear new model based on the Bouc-Wen model is employed to simulate the hysteresis behavior of the damper, considering the frequency, amplitude and current excitation as dependent variables.

TL;DR: In this article, a DE strategy was used to estimate the parameters of structural systems under conditions including limited output data, noise polluted signals, and no prior knowledge of mass, damping, or stiffness.

TL;DR: In this paper, self-diagnosis, multi-objective shape control and reinforcement learning processes are implemented within a control framework on an active tense-grity structure for adaptive civil-engineering structures.

TL;DR: Explicit finite element analysis (FEA) of masonry shear walls containing reinforcement at spacing between 800mm and 2000mm, referred to as wide spaced reinforced masonry (WSRM), are modelled using macroscopic material characteristics for the unreinforced masonry panels and damaged concrete plasticity for the grouted cores containing reinforcement as mentioned in this paper.

TL;DR: In this paper, the authors re-examine the classical problem of active and passive damping of a piezoelectric truss and present closed-loop analytical formulas for the poles and zeros and the maximum modal damping.