Optimal design of adaptive structures: Part I. Remodeling for impact reception

Wikło, Marcin; Holnicki‐Szulc, Jan

doi:10.1007/s00158-008-0233-8

Cited by 13 publications

(15 citation statements)

References 12 publications

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“…Examples of engineering applications for AIA systems are protective road barriers [9,10], automotive: longitudinal members [11], bumpers [12], head-rest [13], so-called multi-folding protective systems [12], adaptive landing gears [2,14], pneumatic offshore structures [7] and adaptive airbags for emergency landings [15]. The general overview of the AIA concepts developed in Institute of Fundamental Technological Research can be found in [16,17].…”

Section: Introductionmentioning

confidence: 99%

On-Line Impact Load Identification

Sekuła

Graczykowski

Holnicki‐Szulc

2013

Shock and Vibration

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The so-called AdaptiveImpact Absorption(AIA) is a research area ofsafety engineeringdevoted to problems of shock absorption in various unpredictable scenarios of collisions. It makes use ofsmart technologies(systems equipped with sensors, controllable dissipaters and specialised tools for signal processing). Examples of engineering applications for AIA systems are protective road barriers, automotive bumpers or adaptive landing gears. One of the most challenging problems for AIA systems is on-line identification of impact loads, which is crucial for introducing the optimum real-time strategy of adaptive impact absorption. This paper presents the concept of animpactometerand develops the methodology able to perform real-time impact load identification. Considered dynamic excitation is generated by a massM1impacting with initial velocityV0. An analytical formulation of the problem, supported with numerical simulations and experimental verifications is presented. Two identification algorithms based on measured response of the impacted structure are proposed and discussed. Finally, a concept of the AIA device utilizing the idea ofimpactometeris briefly presented.

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Section: Introductionmentioning

confidence: 99%

On-Line Impact Load Identification

Sekuła

Graczykowski

Holnicki‐Szulc

2013

Shock and Vibration

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“…In this paper, we consider a truss-like structure with elastoplastic fuses which can adapt to impact by adjusting the plasticity limit. The structural response is calculated by means of virtual distortion methods (VDMs) [6] and the presented results are continuation of the previous work [7,8], where a typical gradient-based method has been used in order to achieve the desired optimization goal. The main disadvantage of gradient methods is the mathematical requirements regarding the objective function (e.g., it has to be differentiable).…”

Section: Introductionmentioning

confidence: 75%

Designing of Elastoplastic Adaptive Truss Structures with the Use of Particle Swarm Optimization

Szklarski

Wikło

2015

Mathematical Problems in Engineering

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In the paper we demonstrate how Particle Swarm Optimization (PSO) can be employed to solve the Adaptive Impact Absorption (AIA) problem. We consider a truss structure which is subjected to impact loads. Stiff bars can be replaced by elastoplastic fuses which control theirs dynamical response. The point of optimization is to maximize or minimize a given objective function by redesigning the structure. This is realized by redistributing the initial mass, finding proper fuse localizations and adjusting, in real-time, the elastoplastic limits. Comparing to the previous results, we show that PSO is capable of achieving results at least as good as gradient-based optimization, having at the same time much larger flexibility regarding the definition of the objective function. This gives significantly broader field of potential applications. In particular, we present how PSO can be used to solve the simultaneous optimization problem: mass redistribution and fuse positioning for a set of expected, various impacts.

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“…As mentioned in the Introduction, the Virtual Distortion Method (VDM) constitutes the framework of our analysis. The method belongs to fast reanalysis methods [3] and has been successfully used in various types of engineering analyses, including optimal remodelling [4,5], progressive collapse [6], adaptive impact absorption [7,8] and structural health monitoring (SHM) [9]- [14]. The VDM can be easily applied for linear systems.…”

Section: Plastic Strains As Damage Indicator 21 Baseline Methods -Thmentioning

confidence: 99%

“…The steel elements have pipe cross-sectional area with the wall thickness of 1 cm and the outer diameters either 10 cm (elements no. 3,7,8,11,12) or 30 cm (remaining elements). The basic length of the module is equal to L = 10 m.…”

Section: Numerical Algorithmmentioning

confidence: 99%

Monitoring of progressive collapse of skeletal structures

Świercz

Kołakowski

Holnicki‐Szulc

2011

J. Phys.: Conf. Ser.

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The authors propose an idea of monitoring the state of skeletal structures of high importance (e.g. roof structures over large-area buildings) with the aim of identification of slowly-developing plastic zones. This is formulated as an inverse problem within the framework of the Virtual Distortion Method, which was used previously to identify stiffness/mass modifications in similar manner. Permanent plastic strains developed in a truss element can be modeled by an initial strain (virtual distortion) introduced to the structure. The formation of subsequent plastic zones in the structure is assumed to be slow. Consequently, the design variable (plastic strain) is time-independent, which makes the inverse analysis efficient. This article presents problem formulation and numerical algorithm for identification of the plastic strains in truss structures. The identification relies on gradient-based optimization. A numerical example is included to demonstrate the efficiency of the algorithm.

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Optimal design of adaptive structures: Part I. Remodeling for impact reception

Cited by 13 publications

References 12 publications

On-Line Impact Load Identification

On-Line Impact Load Identification

Designing of Elastoplastic Adaptive Truss Structures with the Use of Particle Swarm Optimization

Monitoring of progressive collapse of skeletal structures

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