In this paper, architectural constructions composed of spatial truss units are considered by using a new technique of artificial life. Such spatial truss structure has flexibility and adaptability to environments. At first, equilateral tetrahedral (regular tetrahedral) units, which are basic space units having three dimensions, are proliferated to specified directions at random. At every prolif...

The k-truss is a type of cohesive subgraphs proposed recently for the study of networks. While the problem of computing most cohesive subgraphs is NP-hard, there exists a polynomial time algorithm for computing k-truss. Compared with k-core which is also efficient to compute, k-truss represents the “core” of a k-core that keeps the key information of, while filtering out less important informat...

The purpose of this paper is to verify the applicability of the prototype of the Neural Network base model for Optimum Structural Design(NNOSD) to search the optimum design in all cases immediately. NNOSD suggest the procedure of the optimum design and the proper values of the neural network variables(training pattern, number of hidden neurons, maximum training error, steepness coefficient, lea...

Optimization of truss-structures for finding optimal cross-sectional size, topology, and configuration of 2-D and 3-D trusses to achieve minimum weight is carried out using real-coded genetic algorithms (GAs). All the above three optimization techniques have been made possible by using a novel representation scheme. Although the proposed GA uses a fixed-length vector of design variables represe...

This thesis addresses the application of nonlinear optimization to three different problems in computer graphics: the generation of gait cycles for legged creatures, the generation of models of truss structures, and the generation of models of constant mean curvature structures. We first present work on the automatic motion generation for legged creatures. Our technique is a reformulation of sp...

Reliability is often understood as the probability that a structure will not fail to perform its intended function. In this paper, the general formulation of consistent evaluation of the safety of structures and the associated methods of analysis are reviewed. After the reliability analysis of a cantilever beam is demonstrated, the methodology of reliability-based optimization and the related p...

Recently, several algorithms have been proposed for using neural networks in dynamic analysis of small structural systems, and also constructing adaptive material modeling subroutines with the aim of their implementation in finite element computer programs. In these algorithms, the neural networks are trained based on the data obtained from tests at structural or material levels. In this paper,...

Deterring the optimum design of large-scale structures is a difficult task. Great number of design variables, largeness of the search space and controlling great number of design constraints are major preventive factors in performing optimum design of large-scale truss structures in a reasonable time. Meta-heuristic algorithms are known as one of the useful tools to deal with these problems. Th...

1070-9932/13/$31.00©2013IEEE n this article, we present a robot capable of autonomously traversing and manipulating a three-dimensional (3-D) truss structure. The robot can approach and traverse multiple structural joints using a combination of translational and rotational motions. A key factor in allowing reliable motion and engagement is the use of specially designed structural building block...

An efficient method for size and layout optimization of the truss structures is presented in this paper. In order to this, an efficient method by combining an improved discrete particle swarm optimization (IDPSO) and method of moving asymptotes (MMA) is proposed. In the hybrid of IDPSO and MMA, the nodal coordinates defining the layout of the structure are optimized with MMA, and afterwards the...