Structural design and performance analysis of a self-driven articulated arm coordinate measuring machine

Chapter 1 Introduction of swarm intelligent algorithms.- Chapter 2 Application of particle swarm optimization algorithm to engineering structures.- Chapter 3 Optimum design of structures with heuristic particle swarm optimization algorithm .-Chapter 4 Optimum design of structures with group search optimizer algorithm .-Chapter 5 Improvements and applications of group search optimizer in structural optimal design .-Chapter 6 Optimum design of structures with quick group search optimization algorithm .-Chapter 7 Group search optimizer and its applications on multi-objective structural optimal design .-Chapter 8 Prospecting swarm intelligent algorithms.

Design of optimum structures

Reliability-based optimum distribution of seismic energy dissipation devices in fuzzy structural systems using meta-models

The growing urgency for sustainable construction practices has necessitated a reevaluation of traditional design approaches in favor of more environmentally responsible methodologies. This paper presents a comparative analysis between optimal and adequate structural design within the context of sustainable construction. Focusing on two case studies—a cutting-edge, sustainably designed commercial building (the Bullitt Center) and a conventional mid-rise residential building in Chicago—the research explores how different design philosophies impact material efficiency, environmental footprint, economic performance, and occupant satisfaction.Through detailed life cycle assessments (LCA) and life cycle energy analyses (LCEA), the study quantifies the advantages of optimal design, which integrates advanced materials, renewable energy systems, and water conservation technologies. The findings demonstrate that while optimal design requires a higher initial investment, it significantly reduces long-term operational costs and environmental impact, achieving a net-zero energy status and greatly improving occupant well-being. In contrast, the conventional building, which adheres to standard design practices, exhibits higher embodied energy, greater environmental degradation, and lower occupant satisfaction.The paper concludes that optimal structural design is not only more sustainable but also economically viable over the building's life span. It emphasizes the importance of integrating sustainability from the earliest stages of design to achieve meaningful environmental and economic benefits. The study calls for the adoption of policy incentives and advanced modeling tools to facilitate the widespread implementation of optimal design principles in the construction industry. Keywords: Sustainable Construction, Optimal Structural Design, Adequate Design, Building Performance, Embodied Energy, Environmental Impact, Economic Viability, Material Efficiency

The paper focuses on an approach to solving the problem of parametric optimization of anisogrid mesh shells with an irregular structure. Mesh structures are widely used in building and engineering. This study deals with the optimal design of such structures used in aerospace industry. The problem of optimal design of mesh structures is relevant, as it makes it possible to increase the efficiency of their use, minimizing the weight, provided the strength and stability conditions are met. In our work we formulate the problem of optimal design of mesh structures in general form, and introduce an optimization algorithm based on the simplex search method in which we use a partial predicate of a feasible region to describe the non-convex smooth areas of boundaries. The results of solving the optimization problem for a particular structure with a violation of the regularity of the rib structure are given. Findings of research show that the considered algorithm can be used for optimal design of both regular and non-regular mesh structures.

This paper includes description of reliability based design optimization of elasto-plastic skeletal structures under multi-parameter static loading. Presented approach is based on the assumption that the complementary strain energy of the residual forces is considered as an overall measure of the plastic performance for plastic shakedown analysis and optimal design of the structure, and this measure is an uncertain quantity responsible for resistance of the structure by assuming Gaussian distribution. The problems yield to nonlinear mathematical programming which are solved by the use of bi-level sequential quadratic algorithm. Simple portal frames are optimized to illustrate the proposed approaches.

A holistic approach to risk-based decision on inspection and design of fatigue-sensitive structures

Aiming at the problem that large-scale ultra-high-pressure pneumatic ball valves opened and closed at large explosion instantaneously are prone to fatigue failure due to dynamic stress concentration under transient impact loads, this study proposes a multi-physics field coupling structural strength optimization design method based on finite element method. A transient dynamic model is constructed through an explicit dynamics algorithm to simulate the dynamic response under high-frequency impact loads during the blasting opening and closing process. Fluid-Structure Interaction (FSI) is introduced to analyze the interaction between fluid impact force and structural deformation. At the same time, the elastic modulus degradation effect of tungsten carbide/nickel-based alloy composites caused by frictional heat is considered, and the wear rate is calculated based on the wear model Archard. Secondly, the variable density method is used to perform topological optimization on the key areas of the valve body (such as the contact surface between the sphere and the valve seat), the internal rib layout is reconstructed to reduce stress concentration, and geometric parameters such as the valve seat inclination angle and the sphere diameter are screened. The nondominated sorting genetic algorithm (NSGA-II) is used to achieve the coordinated optimization of the leakage rate and the coating’s wear resistance and structural strength. By building an ultra-high pressure burst test bench, this paper combines strain gauges and high-speed cameras to verify the accuracy of the model and corrects the simulation boundary conditions based on the Kalman filter algorithm. The experiment shows that after optimization, the maximum equivalent stress peak of the valve body is reduced by 32.7%, the leakage rate is reduced to 0.008%, and the dynamic fatigue life is increased to 1.5 × 105 cycles under the commonly used engineering stress amplitude. The stress error between the simulation and the test is always less than 5%. The multi-objective optimization method under dynamic load in this paper can provide a theoretical basis for the reliable design and intelligent operation and maintenance of ultra-high pressure and ultra-wear-resistant pneumatic ball valves and promote their engineering applications in the fields of hydrogen energy storage and transportation and chemical industry.

A Novel Fluid Structure Interaction Experiment to Investigate Deformation of Structural Elements Subjected to Impulsive Loading

Gas packaging containers are often used for flammable, explosive, toxic, strong corrosion and compressed gas packaging. The transportation and use environment is more complicated and harsh than other metal packaging containers, and has very high requirements for its structural design. In this paper, taking a certain type of industrial oxygen cylinder as an example, ANSYS Workbench is used to establish the finite element model, and the equivalent linearization treatment method is used to optimize the structural design of the gas cylinder, which provides ideas and methods for the optimization design of the gas packaging container structure.CLC number: TH49 Document code: A

PurposeThis paper aims to summarize design rules based on the process characteristics of selective laser melting (SLM) and structural optimization and apply the design rules in the lightweight design of an aluminum alloy antenna bracket. The design goal is to reduce 30 per cent of the weight while maintaining the stress levels in the original part.Design/methodology/approachTo reduce weight as much as possible, the titanium alloy with higher specific strength was selected during the process of optimization. The material distribution of the bracket was improved by the topology optimization design. The redesign for SLM was used to obtain an optimization model, which was more suitable for SLM. The component performance was improved by shape optimization. The modal analysis data of the structural optimization model were compared with those of the stochastic lightweight model to verify the structural optimization model. The scanning data were compared with those of the original model to verify whether the model was suitable for SLM.FindingsStructural optimization design for antenna bracket realized the mass decrease of 30.43 per cent and the fundamental frequency increase of 50.18 per cent. The modal analysis data of the stochastic lightweight model and the structural optimization model indicated that the optimization performance of structural optimization method was better than that of the stochastic lightweight method. The comparison results between the scanning data of the forming part and the original data confirmed that the structural optimization design for SLM lightweight component could achieve the desired forming accuracy.Originality/valueThis paper summarizes geometric constraints in SLM and derives design rules of structural optimization based on the process characteristics of SLM. SLM design rules make structural optimization design more reasonable. The combination of structural optimization design and SLM can improve the performance of lightweight antenna bracket significantly.

Experimental study on the elastic-plastic dynamic response of shallow-buried corrugated steel-plain concrete composite structures under long-duration plane blast wave loading

A review of topology optimization for additive manufacturing: Status and challenges

According to the conditions of today's world, design of resistant structures against blast loading is an important subject that requires special attention. Thus, given the benefits of optimization in engineering, development and assessment of optimization methods for optimum design of structures against blast is of great importance. In this research, the optimum design of steel frame structures against blast loading is investigated. For this purpose first an optimization methodology is proposed. In the proposed method the structural analysis is performed using nonlinear explicit finite element analysis. Based on the proposed method a framework is developed and three numerical examples are investigated using different numerical optimization techniques. Results of this study show that by using nonlinear explicit FE analysis as the structural analysis method and NLPQLP optimization technique as the optimization method, the current optimization problem can be performed effectively, because the procedure is relatively accurate and computationally inexpensive.

The burial depth significantly influences the structural forces and deformations of tunnel sections, playing a crucial role in the safe operation of tunnels. This study focuses on the structural design and deformation analysis in underground tunnel engineering. Utilizing Midas modeling techniques, tunnel models were designed for experimentation to comprehensively explore the impact of tunnel burial depth and key design parameters on structural deformations and safety.(1) The research reveals that design parameters such as tunnel diameter are the dominant factors affecting deformation, lining pressure, and structural displacement.(2) With an increase in tunnel diameter, substantial deformation occurs, and the lining pressure distribution evolves from a "fan-shaped" pattern to a "peach-shaped" pattern. The bottom structure transitions from uplift to slight settlement. (3) The study results provide a rational range of parameter values for tunnel design. Simulation outcomes highlight areas with higher deformation, offering insights for proposing corresponding remedial measures.