Lichtenberg optimization algorithm applied to crack tip identification in thin plate-like structures

Abstract

Purpose This study aims to develop a numerical identification and characterization of crack propagation through the use of a new optimization metaheuristics called Lichtenberg optimization. Design/methodology/approach The damage-identification problem is treated as an inverse problem, which combines finite element methods with intelligent computational methods to obtain the best possible response. To optimize the objectives, the Lichtenberg algorithm is applied, which includes concepts of random cluster growth in nature. Findings The simulations show that it is possible to determine the Lichtenberg spectrum algorithm a part of the structure to be removed and replaced in this case to stop the propagation. Originality/value The results show a very good crack identification in plates-like structures using the Lichtenberg algorithm (LA) based only in strain fields. Although many studies have reported on damage-identification-based optimization methods, very few have focused on the crack tip modeling and LA as the main solver.

Multi-objective design optimization of reentrant auxetic model using Lichtenberg algorithm based on metamodel

“…The multi-objective Lichtenberg algorithm is a meta-heuristic that has trajectory and population characteristics and was created by Pereira et al (2021a, b, c). The single-objective version of the algorithm was proposed by the same author (Pereira et al, 2020), and the results shown in several works are promising. This metaheuristic has already been used in several optimization cases, for example, in a multi-objective design optimization of a highperformance disk brake using LA (Pereira et al, 2023).…”

“…The Lichtenberg algorithm (LA) will be used in this step. The LA has had excellent results in several published works; for example, Francisco et al (2022) evaluated the multi-objective design optimization of the double arrowhead auxetic model using LA, fabrication and mechanical characterization of red mud-based AL2025-T6 MMC using the Lichtenberg optimization algorithm and the whale optimization algorithm (Challan et al, 2021), a powerful Lichtenberg optimization algorithm: a damage identification case study (Pereira et al, 2020), Lichtenberg optimization algorithm applied to crack tip identification in thin plate-like structures (Pereira et al, 2020) and design optimizations of carbon fiber-reinforced polymer isogrid lower limb prostheses using particle swarm optimization and the Lichtenberg algorithm (Francisco et al, 2020).…”

Sensor Placement Optimization of a Helicopter Main Rotor Blade

“…The meta-heuristic, also developed at GEMEC, has been successful in identifying cracks (Pereira et al [2020]) and delaminations (Pereira et al [2021]), isogrid tube optimization (Francisco et al [2020]; Pereira et al [2022a]), hydrogen production optimization (Souza et al [2022]), wind forecast optimization (Tian & Wang [2022]), parameter optimization in manufacturing processes (Challan et al [2022]; Mohanty et al [2022]), and multi-objective optimization (Pereira et al [2022]), among other applications. The LA algorithm in the mono-objective version has already been well explained in previous chapters.…”

Evaluation of crack locations in beam using artificial neural network‐based modified curvature damage index

“…The modified mode shape curvature is utilized to study single and multiple damage position in a cantilever beam [27,28]. In a study, the results indicate that the Lichtenberg algorithm, which is solely based on strain fields, provides very accurate crack identification in plates-like structures [29]. A study uses scanning electron microscopy to analyze the morphology and crystalloid salt occurrence state within the pore after measuring the change in porosity and permeability of several tight sandstone samples [30].…”