Lyang Suan Wang, Payam Haghighi, Satchit Ramnath, Kurtis Horner, D. Detwiler, J. Shah
{"title":"Automating Parametric Redesign of Structural Thin-Walled Frames","authors":"Lyang Suan Wang, Payam Haghighi, Satchit Ramnath, Kurtis Horner, D. Detwiler, J. Shah","doi":"10.1115/detc2019-97087","DOIUrl":"https://doi.org/10.1115/detc2019-97087","url":null,"abstract":"\u0000 Thin walled frames are prevalent in automotive body structures as they provide lower vehicle weight to meet strength and stiffness requirements for different type of loading cases. Reducing body weight improves fuel efficiency. The inner and outer styling surfaces drive the shape of the design space which constrains structural configurations and size of parts. Although automotive structural engineers have been using thin walled frames for years, they are keen on getting improvements through topology optimization. This paper focuses on development of a set of methods that automate the process of creating hollow cross-sections for body components inside the design space. Lofting these cross-sections along the load path of each component results in a surface model which can be used in FEA for verification and later in designing joints between different components. The starting point of this methodology is the curve skeleton, which is a 1D representation of the load paths within the design space. By analyzing the load paths, planes normal to the curve can be created to cut the design space to obtain the 2D wireframe of the boundaries. Predefined parameterized cross-sections created based on experiential knowledge that are stored in our cross-section tutor, can then be mapped to reside inside the design space boundaries at these different cutting locations. Several test cases are presented to discuss the capabilities and limitations of the tool. Future work on expanding the software to include more functions is also presented.","PeriodicalId":198662,"journal":{"name":"Volume 2B: 45th Design Automation Conference","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129238254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Confidence-Based Design Optimization Under Data Uncertainty Using Most Probable Point-Based Approach","authors":"Yongsu Jung, Hyunkyoo Cho, Ikjin Lee","doi":"10.1115/detc2019-97718","DOIUrl":"https://doi.org/10.1115/detc2019-97718","url":null,"abstract":"\u0000 An accurate input statistical model has been assumed in most of reliability-based design optimization (RBDO) to concentrate on variability of random variables. However, only limited number of data are available to quantify the input statistical model in practical engineering applications. In other words, irreducible variability and reducible uncertainty due to lack of knowledge exist simultaneously in random design variables. Therefore, the uncertainty in reliability induced by insufficient data has to be accounted for RBDO to guarantee confidence of reliability. The uncertainty of input distributions is successfully propagated to a cumulative distribution function (CDF) of reliability under normality assumptions, but it requires a number of function evaluations in double-loop Monte Carlo simulation (MCS). To tackle this challenge, reliability measure approach (RMA) in confidence-based design optimization (CBDO) is proposed to handle the randomness of reliability following the idea of performance measure approach (PMA) in RBDO. Input distribution parameters are transformed to the standard normal space for most probable point (MPP) search with respect to reliability. Therefore, the reliability is approximated at MPP with respect to input distribution parameters. The proposed CBDO can treat confidence constraints employing the reliability value at the target confidence level that is approximated by MPP in P-space. In conclusion, the proposed method can significantly reduce the number of function evaluations by eliminating outer-loop MCS while maintaining acceptable accuracy.","PeriodicalId":198662,"journal":{"name":"Volume 2B: 45th Design Automation Conference","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116525386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Feasibility Study on the Benefits of Feedback Aerator Control in Precision Aquaculture Applications for the Developing World","authors":"F. C. Cruz, K. Mahmudov, A. Marouchos, A. Bilton","doi":"10.1115/detc2019-98087","DOIUrl":"https://doi.org/10.1115/detc2019-98087","url":null,"abstract":"\u0000 Aquaculture is a growing source of food and income for many in the developing world. In developing countries, where more than 18 million people engage in aquaculture, yields have been low due to lacking infrastructure. Aeration has been shown to improve dissolved oxygen (DO) and increase yields, but its use has been low in many developing world environments due to high operating costs. Even when used, they are operated in an ad-hoc manner, resulting in higher than required costs. A potentially more effective implementation is the use of feedback control to maintain adequate DO and increase energy savings. To demonstrate the potential, a feasibility study was conducted comparing the energy consumption of a diffused aeration system, with and without the use of a feedback control system. The effect of the diffused aeration system was simulated for a 100 m3 pond in Bangladesh for extensive and intensive fish farming. The interaction between the aerators and the pond was simulated on ANSYS FLUENT and was used with a DO model to predict the oxygen dynamics of the pond. Results indicated that the addition of a feedback control system could result in 78.66%, and 52.48% in energy cost savings compared to continuous operation for extensive and intensive fish farming respectively. Further work in smart instrumentation has the potential to decrease the energy requirements of aeration technologies and improve production for farmers in the developing world.","PeriodicalId":198662,"journal":{"name":"Volume 2B: 45th Design Automation Conference","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132744897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Computational Framework to Support Social Entrepreneurs in Creating Value for Rural Communities in India","authors":"A. Yadav, A. Das, J. Allen, F. Mistree","doi":"10.1115/detc2019-97375","DOIUrl":"https://doi.org/10.1115/detc2019-97375","url":null,"abstract":"\u0000 Over 250 million people in India currently lack access to basic services needed to live a rudimentary lifestyle. Most of these people reside in rural parts of the country. Lack of employment, economic opportunities, and development in rural areas are foundational to low socio-economic levels in these communities. Added to this are environmental issues such as natural resource depletion, yearlong droughts, climate change. We hypothesize that social enterprises developed at the community level can improve the quality of life of people in rural India.\u0000 The lack of access to investment and resources to identify and develop social enterprises are major challenges for the creation of social enterprises. We hypothesize that a successful partnership between two major stakeholders, namely, social entrepreneurs and corporate social responsibility (CSR) investors is the key in developing multiple social enterprises to foster rural development. However, CSR and other investors require quantitative information along with impact evaluation of the value proposition before investing. Social entrepreneurs lack tools to develop and present value propositions for the village in a quantitative form. In this paper, we propose a computational framework to fill this gap and to facilitate dialog between CSR investors and social entrepreneurs that may result in a mutually favorable investment.","PeriodicalId":198662,"journal":{"name":"Volume 2B: 45th Design Automation Conference","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132205409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"System Reliability Analysis With Second Order Saddlepoint Approximation","authors":"Hao Wu, Xiaoping Du","doi":"10.1115/detc2019-97561","DOIUrl":"https://doi.org/10.1115/detc2019-97561","url":null,"abstract":"\u0000 The second order saddlepoint approximation (SPA) has been used for component reliability analysis for higher accuracy than the traditional second order reliability method. This work extends the second order SPA to system reliability analysis. The joint distribution of all the component responses is approximated by a multivariate normal distribution. To maintain high accuracy of the approximation, the proposed method employs the second order SPA to accurately generate the marginal distributions of component responses; to simplify computations and achieve high efficiency, the proposed method estimates the covariance matrix of the multivariate normal distribution with the first order approximation to component responses. Examples demonstrate the high effectiveness of the second order SPA method for system reliability analysis.","PeriodicalId":198662,"journal":{"name":"Volume 2B: 45th Design Automation Conference","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114509751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Level Set Topology Optimization for Design Dependent Hydrostatic Loading Using the Reproducing Kernel Particle Method","authors":"A. Neofytou, R. Picelli, Jiun-Shyan Chen, H. Kim","doi":"10.1115/detc2019-97803","DOIUrl":"https://doi.org/10.1115/detc2019-97803","url":null,"abstract":"\u0000 Level set topology optimization for the design of structures subjected to design dependent hydrostatic loads is considered in this paper. Problems involving design-dependent loads remain a challenge in the field of topology optimization. In this class of problems, the applied loads depend on the structure itself. The direction, location and magnitude of the loads may change as the shape of the structure changes throughout optimization. The main challenge lies in determining the surface on which the load will act.\u0000 In this work, the reproducing kernel particle method (RKPM) is used in combination with the level set method to handle the dependence of loading by moving the particles on the structural boundary throughout the optimization process. This allows for the hydrostatic pressure loads to be applied directly on the evolving boundary. One-way fluid-structure coupling is considered here. A hydrostatic pressure field governed by Laplace’s equation is employed to compute the pressure acting on linear elastic structures. The objective in this optimization problem is to minimize compliance of these structures. Numerical results show good agreement with those in the literature.","PeriodicalId":198662,"journal":{"name":"Volume 2B: 45th Design Automation Conference","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132133999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Second Order Reliability Method for Time-Dependent Reliability Analysis Using Sequential Efficient Global Optimization","authors":"Zhangli Hu, Xiaoping Du","doi":"10.1115/detc2019-97541","DOIUrl":"https://doi.org/10.1115/detc2019-97541","url":null,"abstract":"\u0000 Reliability depends on time if the associated limit-state function includes time. A time-dependent reliability problem can be converted into a time-independent reliability problem by using the extreme value of the limit-state function. Then the first order reliability method can be used but it may produce a large error since the extreme limit-state function is usually highly nonlinear. This study proposes a new reliability method so that the second order reliability method can be applied to time-dependent reliability analysis for higher accuracy while maintaining high efficiency. The method employs sequential efficient global optimization to transform the time-dependent reliability analysis into the time-independent problem. The Hessian approximation and envelope theorem are used to obtain the second order information of the extreme limit-state function. Then the second order saddlepoint approximation is use to evaluate the reliability. The accuracy and efficiency of the proposed method are verified through numerical examples.","PeriodicalId":198662,"journal":{"name":"Volume 2B: 45th Design Automation Conference","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130476924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Global Emulation Through Normative Decision Making and Thrifty Adaptive Batch Sampling","authors":"A. V. Beek, Siyu Tao, Wei Chen","doi":"10.1115/detc2019-98223","DOIUrl":"https://doi.org/10.1115/detc2019-98223","url":null,"abstract":"\u0000 We consider the problem of adaptive sampling for global emulation (metamodeling) with a finite budget. Conventionally this problem is tackled through a greedy sampling strategy, which is optimal for taking either a single sample or a handful of samples at a single sampling stage but neglects the influence of future samples. This raises the question: “Can we optimize the number of sampling stages as well as the number of samples at each stage?” The proposed thrifty adaptive batch sampling (TABS) approach addresses this challenge by adopting a normative decision-making perspective to determine the total number of required samples and maximize a multistage reward function with respect to the total number of stages and the batch size at each stage. To amend TABS’ numerical complexity we propose two heuristic-based strategies that significantly reduce computational time with minimal reduction of reward optimality. Through numerical examples, TABS is shown to outperform or at least be comparable to conventional greedy sampling techniques. In this fashion, TABS provides modelers a flexible adaptive sampling tool for global emulation, effectively reducing computational cost while maintaining prediction accuracy.","PeriodicalId":198662,"journal":{"name":"Volume 2B: 45th Design Automation Conference","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121419520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Samuel J. Franklin, G. Fadel, N. Coutris, Gang Li, M. Castanier
{"title":"Exploration of Layer Specific Dimensional Multipliers in Modified Unit Cell Synthesis Method Meta-Materials for Nonlinear Applications","authors":"Samuel J. Franklin, G. Fadel, N. Coutris, Gang Li, M. Castanier","doi":"10.1115/detc2019-98464","DOIUrl":"https://doi.org/10.1115/detc2019-98464","url":null,"abstract":"\u0000 Topology optimization of periodic metamaterials for structural applications usually results in uniformly distributed cells. This paper presents a novel concept designed to better tailor unit cell-based meta-material designs for nonlinear structural applications. First, previous work in the development of a systematic method for the construction and optimization of these advanced materials is reviewed. Results of a previous case study for the design of meta-material backer pads for the wheels of the Abrams tank are presented to provide a platform for the introduction of layer specific dimensional multipliers, dubbed “size factors”. These add an additional layer of complexity for the previously designed homogeneous materials. The methodology behind the size factors is presented and the implementation of the “size factors”, as it pertains to the meta-materials designed using the Modified Unit Cell Synthesis method, is then discussed. Initial assumptions for a final size factor arrangement are presented, prompting the creation of two optimization procedures to compare against one another. Results for both optimizations are obtained and while both show an increase in nonlinearity over the original material, the unorganized arrangement of the parameters results in the most optimal designs, with near zero error between the target and obtained non-linear force-strain relationships.","PeriodicalId":198662,"journal":{"name":"Volume 2B: 45th Design Automation Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130977578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Saravanan, Charity Hipple, Jingxin Wang, Christopher McComb, Jessica Menold
{"title":"Decision-Making in the Prescription of Orthotics and Prosthetics for Partial-Foot Amputees","authors":"P. Saravanan, Charity Hipple, Jingxin Wang, Christopher McComb, Jessica Menold","doi":"10.1115/detc2019-97470","DOIUrl":"https://doi.org/10.1115/detc2019-97470","url":null,"abstract":"\u0000 Prosthetists face a daunting number of decisions that directly affect an amputee’s ability to walk and indirectly affect the overall quality of life of that amputee. In addition, the lack of resources in low-income countries provides a barrier to receive care after an amputation, and approximately 80% of amputees in low-income countries lack appropriate prosthetic care. In this research, we are motivated to understand what factors affect the decision-making strategies of prosthetists and podiatrists when prescribing prosthetics and orthotics to partial foot amputees. This work establishes a decision-making framework as a step towards automated methods that may reduce the complexities and decision-making burden of prosthetic prescription, ultimately increasing the efficiency of prosthetic prescription in low-resourced areas. A decision-making model is proposed based on an extensive literature review of over 100 papers. The proposed model is compared to qualitative data regarding decision-making strategies during prosthetic or orthotic prescription collected from nine prosthetists, surgeons, and other healthcare professionals directly involved in amputee care. Changes to the proposed model are described and future work exploring the role of automated methods to support decision-making in the context of prosthetics is discussed.","PeriodicalId":198662,"journal":{"name":"Volume 2B: 45th Design Automation Conference","volume":"331 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122816423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}