scholarly journals DESIGN METHODOLOGY FOR ENGINEERING STRUCTURES FEATURING AUTOMATIC DESIGN CONCEPT GENERATION BY CONSTRAINT PROGRAMMING AND OBJECTIVE RANKING BY MULTI-ATTRIBUTE EVALUATION

Author(s):  
CARLOS LÓPEZ ◽  
PHILIP EYCKENS ◽  
JAN STROOBANTS ◽  
VICKY ILIOPOULOU ◽  
STIJN JONCKHEERE ◽  
...  
Author(s):  
Ashwini Kotrashetti ◽  
B. K Lande ◽  
Ajay Poddar

Abstract Conventional multiband antennas suffer from strong interactions among different operating frequencies, complex configurations, low bandwidth, and reduced efficiencies. A design concept for a multibeam multiband antenna in wireless devices is proposed in this paper. The design concept provides a promising approach to augment transmission and reception. The principle of design involves a primary radiating element embedded in a triplate conformation which excites a passive array of multiple frequency secondary radiators, forming a frequency selective structure in triplate (FSST). The higher order mode behavior of the parent antenna characterizes the design of FSST placed in its nearfield. The mathematical modeling and analysis of the design methodology is also presented. As proof of concept, the proposed design methodology is validated with simulations and experiments at four unlicensed communication bands and the results are compared.


2012 ◽  
Vol 232 ◽  
pp. 955-960 ◽  
Author(s):  
Long Chang Hsieh ◽  
Hsiu Chen Tang

Recently, bicycles are used as exercising machines and traffic vehicles. Planetary gear trains can be used as the transmission systems with multi-speed for bicycles. The purpose of this work is to propose a design methodology for the design of eight-speed internal gear hubs with planetary gear trains for bicycles. First, we propose a design concept for the design of eight-speed planetary gear hub. Then, based on this design concept and train value equation of planetary gear train, the kinematic design of eight-speed planetary gear hub is accomplished. One eight-speed planetary gear hub is synthesized to illustrate the design methodology. Based on the proposed design methodology, many eight-speed internal gear hubs with planetary gear trains can be synthesized.


Author(s):  
Duc Truong Pham ◽  
Huimin Liu

This paper presents a new approach to producing innovative design concepts. The proposed approach involves extending the inventive principles of TRIZ by integrating other TRIZ and TRIZ-inspired tools. The set of inventive principles is then structured according to a framework adapted from I-Ching and represented using TRIZ’s Behaviour-Entity (BE) formalism to which constraints have also been added. The adoption of the BE representation enables a reduction in the amount of repeated information in the inventive principles. A BE pair contains information on a design solution. A Behaviour-Entity-Constraint (BEC) triple additionally has information on constraints on the solution. The BEC representation thus facilitates the retrieval and generation of design solutions from design specifications. The paper uses the problem of laying out seats in an aircraft cabin to illustrate advantages of the proposed approach.


2014 ◽  
Vol 35 (5) ◽  
pp. 500-526 ◽  
Author(s):  
Joanna Tsenn ◽  
Olufunmilola Atilola ◽  
Daniel A. McAdams ◽  
Julie S. Linsey

2019 ◽  
Vol 301 ◽  
pp. 00011
Author(s):  
Chu-Yi Wang ◽  
Ang Liu ◽  
Stephen Lu

Because parametric values are unknown during initial concept generation, the Axiomatic Design Theory uses the binary design matrix (DM) to represent the coupling relationship between functional requirements and design parameters. However, given an existing product, it would be possible to employ the numerical DM that has more detailed information than the binary DM to help improve the design concept. This paper proposed a two-phase method to create a numerical DM in phase I and manage the functional couplings in phase II for concept improvement of existing product. A decomposition-definition-levelling framework and the Puritan-Bennett’s 0-1-3-9 level rating are employed to evaluate the system impact of each functional coupling to create the numerical DM of an existing design concept. The Design Coupling Sequence (DCS) approach was extended to use the numerical DM to improve this design concept. Compared with other numerical matrices for product development and the structured approach by Su et al., our method is more generic and faster, providing useful details yet still able to maintain the dominance of the high-level couplings.


2021 ◽  
Author(s):  
Kikuo Fujita ◽  
Kazuki Minowa ◽  
Yutaka Nomaguchi ◽  
Shintaro Yamasaki ◽  
Kentaro Yaji

Abstract This paper proposes a framework for generating design concepts through the loop of comprehensive exploitation and consequent exploration. The former is by any sophisticated optimization such as topology optimization with diversely different. The latter realization is due to the variational deep embedding (VaDE), a deep learning technique with classification capability. In the process of design concept generation first, exploitation through computational optimization generates various possibilities of design entities. Second, VaDE learns them. This learning encodes the clusters of similar entities over the latent space with smaller dimensions. The clustering result reveals some design concepts and identifies voids where as-yet-unrecognized design concepts are prospective. Third, the decoder of the learned VaDE generates some possibilities for new design entities. Forth such new entities are examined, and relevant new conditions will trigger further exploitation by the optimization. In this paper, this framework is implemented for and applied to the conceptual design problem of bridge structures. This application demonstrates that the framework can identify voids over the latent space and explore the possibility of new concepts. This paper brings up some discussion on the promises and possibilities of the proposed framework.


2012 ◽  
Author(s):  
Jonathan B. Powers ◽  
Srinivasan Laxman ◽  
Akbar Farahani ◽  
Hamed Sharifi

2020 ◽  
Author(s):  
Jin Woo Lee ◽  
Shanna Daly ◽  
Varghese Vadakumcherry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Franck Taillandier ◽  
Cédric Baudrit ◽  
Claudio Carvajal ◽  
Benjamin Delhomme ◽  
Bruno Beullac

PurposeCivil engineering structures are regularly confronted with failures that can lead to catastrophic consequences. It is important, after a failure, to be able to identify the origin and the sequence of factors that led to it. This failure analysis by experts, called forensic engineering investigation, generally leads to the drafting of an expert report. These reports do not inform on the processes that guided the experts to a conclusion and the uncertainties involved. This paper aims to propose a new methodological approach to formalize the opinions of experts in forensic engineering.Design/methodology/approachThe research consists in combining abstract argumentation with the theory of imprecise probabilities to take into account epistemic and stochastic uncertainties to support forensic engineering investigation.FindingsA model and a tool to support forensic analysis are presented. An application on the collapse of the Brumadinho dam highlights the interest of the chosen approach.Originality/valueThis work is the first use of the abstract argument framework in civil engineering, and so in forensic engineering. Furthermore, it provides an innovative model based on imprecise probability for AAF.


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