Likai Wang

Likai Wang
National University of Singapore | NUS · Department of Architecture

PhD in Architecture
open to work : D

About

27
Publications
17,919
Reads
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111
Citations
Introduction
Likai WANG (王力凯) received his Ph.D. in Architecture from School of Architecture and Urban Planning, Nanjing University. His current research focuses on generative architectural and urban design, evolutionary design, computational design optimization, and performance-informed design. He is also the developer of EvoMass, a Rhino-Grasshopper plug-in aimed at agile performance-based building massing design generation, optimization, and exploration (food4rhino.com/node/2974).
Additional affiliations
January 2021 - January 2022
Nanjing University
Position
  • PostDoc Position
September 2014 - August 2020
Nanjing University
Position
  • PhD Student
Description
  • Research on the perform-based building massing design optimisation system and its application towards conceptual architectural design.
Education
September 2017 - September 2018
National University of Singapore
Field of study
  • Architecture
September 2014 - July 2020
Nanjing University
Field of study
  • Digital Architecture and CAAD
September 2011 - June 2014
Nanjing University
Field of study
  • Architecture

Publications

Publications (27)
Article
Full-text available
For sustainable building design, performance-based optimization incorporating parametric modelling and evolutionary optimization can allow architects to leverage building massing design to improve energy performance. However, two key challenges make such applications of performance-based optimization difficult in practice. First, due to the paramet...
Article
Full-text available
Significant research has been undertaken focusing on the application of evolutionary algorithms for design exploration at conceptual design stages. However, standard evolutionary algorithms are typically not well-suited to supporting such optimization-based design exploration due to the lack of design diversity in the optimization result and the po...
Conference Paper
Full-text available
This paper presents an evolutionary design toolkit for performance-based building massing design optimisation (food4rhino.com/node/2974). The toolkit is aimed to assist architects in exploring a wide range of building massing design alternatives guided by various performance objectives, thereby encouraging architects to incorporate evolutionary des...
Article
Full-text available
In performance-based architectural design optimization, the design of building massings and façades is commonly separated, which weakens the effectiveness in performance improvement. In response, this study proposes a hybrid massing-façade integrated design generation and optimization workflow to integrate the two elements in an evolutionary design...
Article
Full-text available
The role of optimization-based design exploration in early-stage architectural design has been increasingly recognized and valued. It has been widely considered an effective approach to achieving performance-informed and performance-driven design. Nevertheless, there is little research into how such design exploration can be adapted to various earl...
Conference Paper
Full-text available
Computational design optimization has been widely considered a promising technique to help designers address complex design challenges regarding building performance. However, a barrier to applying it to real-world projects is the difficulty in incorporating functional requirements and constraints into the design optimization process. In response,...
Conference Paper
Full-text available
As one of the most important factors for urban microclimate, the wind environment is crucial for conserving energy, reducing carbon emissions, diluting pollutants, and improving human comfort. This paper attempts to explore wind-driven design optimization of building layouts, and a residential neighborhood in Nanjing China is chosen as a case study...
Conference Paper
Full-text available
Over the past decade, computational design optimization has been increasingly applied to the studies related to early-stage architectural design exploration and information extraction, in which various optimization approaches have been adopted such as single-objective optimization (SOO) and multi-objective optimization (MOO). Despite this, the impa...
Conference Paper
Full-text available
This paper presents a framework for rapid design optimization, which is aimed to support the iterative design optimization process. The framework consists of Rhino-Grasshopper and an evaluation server. In order to speed up the optimization process, three strategies are implemented in the framework, including parallel execution, early abortion, and...
Conference Paper
Full-text available
In architectural design, the design processes of building massings and facades are typically separated, which hinders the synergy of the two elements in sustainable building design. In response, this paper proposes an integrated design optimization workflow that can evolve design incorporating building massings with different formal characteristics...
Conference Paper
Full-text available
The wind pressure on the surface of buildings can be critical, especially for high-rise buildings. To overcome the limitations in applying time-consuming CFD simulations to early design stage, we introduce a novel approach for generating real-time surface wind pressure in high-rise buildings through Deep Learning (DL). The DL model is trained on da...
Article
Full-text available
对现有参数化建模和智能寻优算法技术在基于性能的设计优化方面的特点和局限性进行了剖析;根据设计师在方案阶段侧重于建筑设计探索和概念发生的工作特点,介绍了具有自主设计生成和探索能力的设计优化工具EvoMass,并展示了其在方案设计中的应用。应用结果表明,设计师可以通过EvoMass提取与建筑性能相关的设计信息,并将其融入概念发生和设计综合的过程之中。同时,EvoMass为性能设计优化流程提供了面向“人机协同的设计综合”的新方法范式。 This paper centers on the need for design exploration and concept development at the early-stage architectural design and investigat...
Conference Paper
Full-text available
This paper presents a reverse passive building design approach for sustainable architectural design based on the use of performance-based design optimization. The approach considers building massing and orientation, both of which are of great importance in passive building design, and combines the two factors in a design generation and optimization...
Conference Paper
Full-text available
This paper presents a ‘skeletal’ parametric schema to generate residential building layout configurations for performance-based design optimization. The schema generates residential building layout configurations using a set of ‘skeletal’ lines that are created based on various design elements and coincident with factors such as walkways, spacing,...
Chapter
Full-text available
This paper presents a study investigating the impact of design spaces on performance-based design optimization and attempts to demonstrate the relationship between these two factors through the lens of the span of design spaces. The study defines the span of design spaces as the variety of different types of building design that can be embodied by...
Chapter
Full-text available
In performance-based architectural design, most existing techniques and design approaches to assisting designers are primarily for a single design problem such as building massing, spatial layouts, or facade design. However, architectural design is a synthesis process that considers multiple design problems. Thus, for achieving an overall improveme...
Chapter
During the early stages of design exploration, competing design strategies are typically considered. This chapter presents a design method, supported by a novel type of evolutionary algorithm, that maintains a heterogeneous population of design variants based on competing design strategies. Each strategy defines its own search space of design varia...
Conference Paper
Full-text available
The complex interactive relationship between wind flow and building design poses a great challenge in architectural design. Recent research has been conducted to combine Computational Fluid Dynamics (CFD) and computational design optimization to solve the problem. However, due to the time-consuming simulation process and the assertion-oriented comp...
Conference Paper
Full-text available
One of the problems lies in performance-based architectural design optimization is the separation of building massing design and facade design. The separation of design processes significantly weakens the synergizing of building massing and facades for more progressive performance improvement. In order to overcome this weakness, this paper presents...
Conference Paper
Full-text available
Using performance-based optimization to explore unknown design solutions space has become widely acknowledged and considered an efficient approach to designing high-performing buildings. However, the lack of design diversity in the design space defined by the parametric model often confines the search of the optimization process to a family of simi...
Conference Paper
Full-text available
This paper focuses on the use of using appropriate parametric modelling approaches for computational design optimization in architecture. In many cases, architects do not apply appropriate parametric modelling approaches to describe their design concepts, and as a result , the design search space defined by the parametric model can be problematic....
Conference Paper
Full-text available
Standard evolutionary algorithms have limited use in practical architectural design tasks. This may be due to the poor search efficiency and the lack of diversity of the result. In order to overcome these weaknesses, this paper proposes a hybrid evolutionary algorithm combining an island model approach (parallel distributed technique) and a steady-...
Conference Paper
Full-text available
The use of parametric design optimization should not be merely a solution for design challenges, rather, a medium of reflection. The research explores how to conceive feasible design schemas and formulate appropriate parametric models capable of fully exploiting potential performance improvements through an iteratively reflective design synthesis w...
Preprint
Full-text available
Evolutionary design allows complex design search spaces to be explored, potentially leading to the discovery of novel design alternatives. As generative models have becomemore complex, constraint handling has been found to be an effective approach to limit the size of the search space. However, constraint handling can significantly affect the overa...
Conference Paper
Full-text available
This paper investigates the impacts of constraint handling on the evolutionary designs in terms of time efficiency and evolutionary effectiveness. To analyse this issue systematically, three generative models with different constraint handling strategies were constructed. The locality of the models and the associated positive and negative impacts o...
Conference Paper
Full-text available
The integration of optimization algorithms and building performance simulation tools make it possible to carry out performa-tive design or performance-driven design, which aims to guide the design synthesis process of the simulation results to continuously improve the design. However, the associated research work of wind-related building performanc...
Conference Paper
Full-text available
The integration of optimization algorithms and building performance simulation tools make it possible to carry out performa- tive design or performance-driven design, which aims to guide the de- sign synthesis process of the simulation results to continuously im- prove the design. However, the associated research work of wind- related building perf...

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Projects

Projects (2)
Project
The aim of this project is to understand how the design search space can affect the result of parametric design optimisation for architecture, especially for the design problems related to building performance. To be more specific, how the shape (width, depth, and dense) of the design search space will pose difficulties and challenges for the parametric design optimisation process to find high-performing solutions, and can we modify the shape of the design search space to facilitate the parametric design optimisation process to produce more useful results.
Project
The aim of this project is to develop a computer-aided design approach for integrating building performance optimisation into concept architectural design exploration, by providing a more integrated building massing design generation and optimisation system that can produce site-specific and task-specific high-performing design solutions while with minimal interruption to architects' design processes. The system can help architects carry out performance-based design optimisation or optimisation-based design exploration in real-world design scenarios. In order to do so, the system enables architects to perform computational optimisation for performance-based building massing design without parametric modelling by providing two pre-defined building massing generative models (subtractive/additive models). In addition, the system also provides a hybrid evolutionary algorithm, named SSIEA, with enhancing design information feedback.