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computational morphogenesis OF LIGHTWEIGHT CONTINOUS CONCRETE SHELL STRUCTURES BY UTILIZING METAHEURISTIC ALGORITHMS

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JOURNAL OF THE INTERNATIONAL ASSOCIATION FOR SHELL AND SPATIAL STRUCTURES 2024年第3期65卷 171-188页

作者： Vatandoost, Mohsen Golabchi, Mahmood Ekhlassi, Ahmad Rahbar, Morteza Univ Tehran Coll Fine Arts Fac Architecture Architectural Technol Tehran Iran Iran Univ Sci & Technol Coll Architecture & Environm Design Tehran Iran

While the hanging model and physical prototyping are reliable methods for form-finding continuous lightweight shell structures, they cannot explore various design possibilities and consider multiple criteria in the design. This research aims to employ metaheuristic algorithms as a search tool for simultaneous form-finding (form exploration) and optimization, known as computational morphogenesis. This workflow consists of a parametric model and metaheuristic algorithms, which were implemented through costume Python codes. To evaluate the workflow, a double-curvature footbridge was defined, and the forms that GA found were in line with the anticipation. The GA found a better solution (0.04022) than the SA (0.064) by considering elastic energy change. In case study II, the optimal form of a continuous lightweight shell was explored by utilizing GA, PSO, SA, and the hybrid algorithm of GAPSO. The GA improved the fitness solution by 35% in the second run, while PSO showed similar results, and the hybrid GAPSO algorithm did not yield better results. The results show that the optimum result based on different algorithms was not significantly different. Nevertheless, hyperparameters considerably affected finding the global minimum. Moreover, NSGA-II was utilized, which let the designer tradeoff between alternatives while considering other criteria.

关键词： shell structures form-finding structural optimization computational morphogenesis multi-objective Optimization NSGA-II

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computational morphogenesis of three-dimensional free-form structures using isosurfaces based on space mapping

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COMPUTERS & STRUCTURES 2023年 289卷

作者： Ma, Zhenfu Cui, Changyu Harbin Inst Technol Sch Civil Engn Harbin 150090 Peoples R China Harbin Inst Technol Key Lab Smart Prevent & Mitigat Civil Engn Disast Minist Ind & Informat Technol Harbin 150090 Peoples R China

This paper presented a novel computational morphogenesis method based on space mapping that employed isosurfaces to generate three-dimensional free-form continuum structures from design domains of arbitrary complexity. To achieve the interaction between form and performance, a mapping was established between the parameter space and the physical space of the design domain using B-spline volume modelling. Two assumptions were introduced to ensure that the entire parameter space has mechanical properties equivalent to those of the physical space. The isosurfaces of criterion thresholds were extracted from the entire parameter space and mapped into the physical space as the boundaries of the new design. The proposed methodology effectively addresses the limitations of the non-orthogonal body-fitted meshes for structural analysis. It comprehensively reflected the redistribution of mechanical performance and yielded an optimal design at the global-structural level. Furthermore, a geometric matrix was developed for the marching cubes algorithm, which streamlines the process of extracting isosurfaces. Numerical examples were presented to validate the method, demonstrating its ability to generate free-form structures with smooth boundaries, innovative shapes, and rational topology. The unexpected architectural form can provide valuable references for conceptual design in engineering applications.

关键词： computational morphogenesis Space mapping Isosurface extraction Topology optimization free-form structures

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Space mapping-based computational morphogenesis of continuum structures using isolines with free-boundary design domain

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STRUCTURES 2022年 41卷 318-330页

作者： Ma, Zhenfu Cui, Changyu Harbin Inst Technol Sch Civil Engn Harbin 150090 Peoples R China Harbin Inst Technol Key Lab Smart Prevent Mitigat Civil Engn Disasters Harbin 150090 Peoples R China Harbin Inst Technol Sch Civil Engn 73Huanghe RdNanGang Dist Harbin 150090 Peoples R China

computational morphogenesis is widely used in the conceptual design of continuing structures to provide engineers with a desired design. A morphogenetic algorithm of the free-boundary continuum structure using isolines is proposed based on space mapping technology, referred to here as the isolines structural morphogenesis (ISM) method. The free-boundary initial design domain containing a parameter space and physical space is established by B-spline. Mechanics performance is analyzed in arbitrary physical space (the structure itself) and distributed to the regular parameter space. Determine the evolutionary threshold based on the distribution characteristics of design criteria. The threshold's isolines are extracted in the orthogonal grid of the parameter space and mapped to acquire a new structure boundary. A continuum structure with a free boundary that efficiently resists the load is generated by iteratively re-evaluating the behavior and updating the isolines until the required design is achieved. In addition, a coefficient matrix based on a regular grid was introduced to simplify the extraction of the isoline. The introduction of mapping space enriches the original modeling means and optimizes the structural design framework, making the morphogenesis of free-boundary continuum structures simple and efficient. Numerical examples show diverse designs of free-boundary continuum structures that verified the improved approach and revealed a novel design pathway of arbitrarily complex structures.

关键词： computational morphogenesis Mapping space Continuum structure Topology design

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Speeding up computational morphogenesis with Online Neural Synthetic Gradients

Speeding up Computational Morphogenesis with Online Neural S...

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International Joint Conference on Neural Networks (IJCNN)

作者： Zhang, Yuyu Chi, Heng Chen, Binghong Tang, Tsz Ling Elaine Mirabella, Lucia Song, Le Paulino, Glaucio H. Georgia Inst Technol Atlanta GA 30332 USA Siemens Corp Technol Princeton NJ USA

ISBN: (纸本)9780738133669

A wide range of modern science and engineering applications are formulated as optimization problems with a system of partial differential equations (PDEs) as constraints. These PDE-constrained optimization problems are typically solved in a standard discretize-then-optimize approach. In many industry applications that require high-resolution solutions, the discretized constraints can easily have millions or even billions of variables, making it very slow for the standard iterative optimizer to solve the exact gradients. In this work, we propose a general framework to speed up PDE-constrained optimization using online neural synthetic gradients (ONSG) with a novel two-scale optimization scheme. We successfully apply our ONSG framework to computational morphogenesis, a representative and challenging class of PDE-constrained optimization problems. Extensive experiments have demonstrated that our method can significantly speed up computational morphogenesis (also known as topology optimization), and meanwhile maintain the quality of final solution compared to the standard optimizer. On a large-scale 3D optimal design problem with around 1,400,000 design variables, our method achieves up to 7.5x speedup while producing optimized designs with comparable objectives.

关键词： computational morphogenesis PDE-constrained optimization neural synthetic gradients deep learning

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Topology of leaf veins: Experimental observation and computational morphogenesis

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JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS 2021年 123卷 104788-104788页

作者： Ma, Jiaming Zhao, Zi-Long Lin, Sen Xie, Yi Min RMIT Univ Ctr Innovat Struct & Mat Sch Engn Melbourne Vic 3001 Australia Hunan Univ Coll Mech & Vehicle Engn State Key Lab Adv Design & Mfg Vehicle Body Changsha 410082 Peoples R China

The unique, hierarchical patterns of leaf veins have attracted extensive attention in recent years. However, it remains unclear how biological and mechanical factors influence the topology of leaf veins. In this paper, we investigate the optimization mechanisms of leaf veins through a combination of experimental measurements and numerical simulations. The topological details of three types of representative plant leaves are measured. The experimental results show that the vein patterns are insensitive to leaf shapes and curvature. The numbers of secondary veins are independent of the length of the main vein, and the total length of veins increases linearly with the leaf perimeter. By integrating biomechanical mechanisms into the topology optimization process, a transdisciplinary computational method is developed to optimize leaf structures. The numerical results show that improving the efficiency of nutrient transport plays a critical role in the morphogenesis of leaf veins. Contrary to the popular belief in the literature, this study shows that the structural performance is not a key factor in determining the venation patterns. The findings provide a deep understanding of the optimization mechanism of leaf veins, which is useful for the design of high-performance shell structures.

关键词： Leaf veins Topology computational morphogenesis Nutrient transport Structural stiffness Curved shell

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computational morphogenesis and digital simulation of the construction process of masonry domes built without centrings 60

Computational morphogenesis and digital simulation of the co...

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60th Anniversary Symposium of the International-Association-for-Shell-and-Spatial-Structures (IASS SYMPOSIUM) / 9th International Conference on Textile Composites and Inflatable Structures (STRUCTURAL MEMBRANES)

作者： Esposito, Lorenzo Boccia, Gaetano B. Luporino, Alessandro Pone, Sergio Univ Napoli Federico II DiARC Dipartimento Architettura Via Toledo 402 I-80134 Naples Italy

ISBN: (纸本)9788412110104

The study investigates the design and construction processes of masonry domes built without the use of centrings. In particular, it focuses on those built using a 'compass', i.e. an erection device that simplifies the construction process, and guarantees the bricklaying accuracy. The foundation of this research project can be found in the work of Fabrizio Carola (1931-2019) who used an erection method for masonry domes inspired by the 'Nubian vault technique'. The design and construction processes used by Carola have been analyzed with the aim of identifying a sequence of operations, which were then simulated in a digital environment by means of recursive algorithms. Finally, the study moved to the implementation of two bespoke designed contraptions for the design of non-spherical domes. The result of this study is a computational tool which can be used to design different typologies of centring-less masonry domes and simulate their construction process.

关键词： masonry domes centring-less domes computational morphogenesis recursive algorithms

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A general framework dedicated to computational morphogenesis Part I - Constitutive equations

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BIOSYSTEMS 2018年 173卷 298-313页

作者： Siregar, Pridi Julen, Nathalie Hufnagl, Peter Mutter, George Integrat BioComp IBC Chantepie France Charite Univ Med Berlin Inst Pathol Dept Digital Pathol & IT Berlin Germany Harvard Med Sch Dept Pathol Boston MA USA Brigham & Womens Hosp 75 Francis St Boston MA 02115 USA

In order to understand living organisms, considerable experimental efforts and resources have been devoted to correlate genes and their expressions with cell, tissue, organ and whole organisms' phenotypes. This data driven approach to knowledge discovery has led to many breakthrough in our understanding of healthy and diseased states, and is paving the way to improve the diagnosis and treatment of diseases. Complementary to this data driven approach, computational models of biological systems based on first principles have been developed in order to deepen our understanding of the multi-scale dynamics that drives normal and pathological biological functions. In this paper we describe the biological, physical and mathematical concepts that led to the design of a computational morphogenesis (CM) platform baptized Generic Modeling and Simulating Platform (GMSP). Its role is to generate realistic 3D multi-scale biological tissues from virtual stem cells and the intended target applications include in virtuo studies of normal and abnormal tissue (re)generation as well as the development of complex diseases such as carcinogenesis. At all space-scales of interest, biological agents interact with each other via biochemical, bioelectrical, and mechanical fields that operate in concert during embryogenesis, growth and adult life. The spatio-temporal dependencies of these fields can be modeled by physics-based constitutive equations that we propose to examine in relation to the landmark biological events that occur during embryogenesis.

关键词： Biology of development computational morphogenesis computational biology Agents

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A general framework dedicated to computational morphogenesis Part II - Knowledge representation and architecture

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BIOSYSTEMS 2018年 173卷 314-334页

作者： Siregar, Pridi Julen, Nathalie Hufnagl, Peter Mutter, George Integrat BioComp IBC Chantepie France Charite Univ Med Berlin Dept Digital Pathol & IT Inst Pathol Berlin Germany Harvard Med Sch Dept Pathol Boston MA USA Brigham & Womens Hosp 75 Francis St Boston MA 02115 USA

In our previous paper we introduced morphogenesis and post-embryonic life as arising from cells interacting via coupled chemical, electrical and mechanical processes occurring across multiple organization levels. We reviewed these processes from the perspectives of developmental biology and how they relate to physics-based constitutive equations that are well suited to model intercellular interactions' fields. In this paper we will describe a knowledge representation and architectural design strategy that can organize and encode the biochemical, biological and biophysical data necessary to represent and model the highly specialized and diversified cells that constitute living tissues. Since there are about 200 different types of cells in mammalian tissues, a huge amount of molecular, cellular and tissue data must be accounted for. This data cannot be incorporated in an ad hoc manner but, on the contrary, must be organized according to some sound principles. We give an overview of these principles and describe how they can be incorporated as proper features of a Knowledge Base System (KBS) dedicated to computational morphogenesis (CM).

关键词： computational morphogenesis Knowledge representation Inference Agents

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A review on hybrid optimization algorithms to coalesce computational morphogenesis with interactive energy consumption forecasting

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ENERGY AND BUILDINGS 2015年 106卷 192-202页

作者： Mavromatidis, Lazaros Elias Univ Strasbourg INSA Strasbourg ICube UMR 7357 F-67084 Strasbourg France

The present review paper focuses on the exploration and qualitative evaluation of hybrid optimization methods applied to architectural design, computational morphogenesis and energy consumption problems. After introducing the computational morphogenesis notion and the novel institutional framework of nZEB labeling, we define here computational morphogenesis as a design procedure where the environmental qualities of the envelope and especially thermal storage and load shifting have the potential to guide an automation process of shape creation in the building scale. For this reason we focus on reviewing the well-cited literature on scale that introduced novel hybrid optimization tools especially developed for thermal load, energy consumption optimization and/or computational morphogenesis optimization issues. Different approaches and methods are reported in this review paper, while at the end of the paper an exhaustive list of conclusions and potential perspectives of these approaches is explicitly presented. Inexorably, we seek to review here hybrid optimization tools that are (or could be) applied on computational morphogenesis problems with the aim to optimize, facilitate and encourage a creative architectural design in relation to innovative envelope conception to promote interdisciplinary research coupling the fields of architectural design and building physics. (C) 2015 Elsevier B.V. All rights reserved.

关键词： computational morphogenesis Hybrid optimization methods Genetic algorithms Thermal storage Load shifting

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M-Voronoi and other random open and closed-cell elasto-plastic cellular materials: Geometry generation and numerical study at small and large strains

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INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES 2024年 290卷

作者： Hooshmand-Ahoor, Z. Luo, H. Danas, K. Inst Polytech Paris Ecole Polytech LMS CNRS F-91128 Palaiseau France Tohoku Univ ELyTMaX CNRS Sendai Japan

The present study deals with a numerical design strategy of a novel class of three-dimensional random Voronoitype geometries, called M-Voronoi. These materials comprise random, non -quadratic convex void shapes and non -uniform intervoid ligament thicknesses, and can span high -to -low relative densities. The starting point for their generation is a random adsorption algorithm (RSA) construction with spherical voids embedded in an incompressible, nonlinear elastic matrix phase. The initial RSA geometry is subjected to large elastic volume changes by prescribing Dirichlet boundary conditions. Due to the incompressibility of the matrix phase, the externally imposed volume changes lead to significant void growth. The numerical growth process may be stopped at any desired porosity. The proposed M-Voronoi process is general and allows the formation of isotropic (or anisotropic) designs. As a byproduct of the developed approach, we also present a novel remeshing technique allowing to read arbitrary geometries of one or multiple phases. The elasto-plastic properties of the M-Voronoi porous materials are numerically investigated at small strains as well as large compressive and shear loads. Their response is assessed by comparison with other well-known random and periodic porous geometries such as polydisperse porous materials with spherical voids (RSA), classical TPMS Gyroid geometries and random Spinodoid topologies. The results show that M-Voronoi and RSA (with spherical voids) geometries exhibit the stiffest elastic and highest flow stress response compared to the other two geometries. This study shows unambiguously that randomness may or may not lead to enhanced mechanical response such as higher stiffness or flow stress.

关键词： Architected materials Random geometries Voronoi materials Disordered porous materials Void growth Finite strain simulations computational morphogenesis Foams

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