«Previous Article|Table of Contents|Next Article»

¡¶½¨Öþ¿ÆѧÓ빤³Ìѧ±¨¡·[ISSN:1673-2049/CN:61-1442/TU]

Issue:

2026Äê01ÆÚ

Page:

1-13

Research Field:

ÖÇÄܼì²âÓ뽨Ôì¼¼ÊõרÀ¸

Publishing date:

Info

Title:

Intelligent layout generation technology for multiª²story modular building

Author(s):

LIU Jiepeng¹; 2;  WANG Liqiang¹; 2;  XIA Yi¹; 3;  QI Hongtuo¹; 2;  CHEN Jie⁴;  LI jiang¹; 2;  LI Jiachen¹; 2

1. School of Civil Engineering, Chongqing University, Chongqing 400045, China; 2. State Key Laboratory of Safety and Resilience of Civil Engineering in Mountain Area, Chongqing University, Chongqing 400045, China; 3. Hong Kong Center for Construction Robotics, The Hong Kong University of Science and Technology,? Hong Kong 999077, China; 4. China Construction Science and Industry Group Green Technology Co., Ltd., Shenzhen 518107, Guangdong, China

Keywords:

modular building;  deep reinforcement learning;  modular layout;  generative design;  platform development

PACS:

TU393.2

DOI:

10.19815/j.jace.2025.04098

Abstract:

Aiming at the difficulties of manual design and low degree of automation in modular building layout design, an intelligent layout design method for multiª²story modular buildings was proposed, which achieved efficient and automatic generation of diverse layout schemes. Firstly, automatic information extraction and building area grouping were carried out for modular architectural drawings, completing the conversion of initial twoª²dimensional drawing information to standard information format. The layout schemes for multiª²story modular buildings were intelligently generated based on deep reinforcement learning. Through the synergistic effect of reward values such as the total number of module units, room adjustment values, and room adjustment quantities, the optimization and evaluation of module unit layout schemes were achieved. Finally, in order to enhance the practicality and operational convenience of the project, a modular intelligent building layout design platform was built by integrating functional modules such as building information extraction, building layout design, and layout scheme visualization. Taking the Lixinhu School project as study case, layout schemes were generated by using three preset specification module units in the proposed method. The total number of module units, room adjustment amount, room adjustment value, and normalized total indicator value for generating the plan were evaluated. The results show that the proposed method can efficiently generate module schemes suitable for different scenarios, improve the automation and intelligence level of modular building design, and provide technical support for engineering practice.

References:

£Û 1 £Ý GIBB A G F. Off - site fabrication: prefabrication, pre - assembly and modularisation £Û M £Ý . Hoboken: John Wiley & Sons, Inc., 1999.

£Û 2 £Ý CAO J P, BUCHER D F, HALL D M, et al. Cross - phase product configurator for modular buildings using kit - of - parts £Û J £Ý . Automation in Construction, 2021, 123: 103437.

£Û 3 £Ý MUTHUMANICKAM N K, BROWN N, DUARTE J P, et al. Multidisciplinary design optimization in architecture, engineering, and construction: a detailed review and call for collaboration £Û J £Ý . Structural and Multidisciplinary Optimization, 2023, 66(11): 239.

£Û 4 £Ý HWANG K E, KIM I, KIM J I, et al. Client - engaged collaborative pre - design framework for modular housing £Û J £Ý . Automation in Construction, 2023, 156: 105123.

£Û 5 £ÝÒ¶¼Î±ò , ÌÀÐòÁØ , ºÎ±þȪ , µÈ . Ä£¿é»¯½¨Öþ (MiC) ¼¼ÊõµÄÑо¿×ÛÊöÓë½øÕ¹£Û J £Ý . ¹ãÖݽ¨Öþ ,2024,52(1):113 - 117.

YE Jiabin, TANG Xulin, HE Bingquan, et al. Study of literature review in modular integrated construction(MiC)technology £Û J £Ý . Guangzhou Architecture, 2024, 52(1): 113 - 117.

£Û 6 £ÝÀîÖ¾Óí , ÇÇÓÀÇ¿ , ÀîÈθê , µÈ . ¸Ö½á¹¹Ä£¿é»¯½¨ÖþÖÇÄÜÖÆÔì̽Ë÷Óëʵ¼ù£Û J £Ý . ½¨Éè¿Æ¼¼ ,2023(24):40 - 42.

LI Zhiyu, QIAO Yongqiang, LI Renge, et al. Exploration and practice of intelligent manufacturing for modular steel structure buildings £Û J £Ý . Construction Science and Technology, 2023(24): 40 - 42.

£Û 7 £Ý SRISANGEERTHANAN S, HASHEMI M J, RAJEEV P, et al. Review of performance requirements for inter - module connections in multi - story modular buildings £Û J £Ý . Journal of Building Engineering, 2020, 28: 101087.

£Û 8 £Ý LIU X L, HOU C, PENG J H, et al. Recent advancements of inter - module connections for modular buildings:an overview and multi - dimensional assessment £Û J £Ý . Engineering Structures, 2025, 335: 120378.

£Û 9 £Ý YANG C, XU B, XIA J W, et al. Mechanical behaviors of inter - module connections and assembled joints in modular steel buildings:a comprehensive review £Û J £Ý . Buildings, 2023, 13(7): 1727.

£Û 10 £Ý LACEY A W, CHEN W S, HAO H, et al. Effect of inter - module connection stiffness on structural response of a modular steel building subjected to wind and earthquake load £Û J £Ý . Engineering Structures, 2020, 213: 110628.

£Û 11 £Ý PING T Y, PAN W, MOU B. An innovative type of module - to - core wall connections for high - rise steel modular buildings £Û J £Ý . Journal of Building Engineering, 2022, 62: 105425.

£Û 12 £Ý CHEN Z H, LIU J D, YU Y J, et al. Experimental study of an innovative modular steel building connection £Û J £Ý . Journal of Constructional Steel Research, 2017, 139: 69 - 82.

£Û 13 £Ý KAMALI M, HEWAGE K, MILANI A S. Life cycle sustainability performance assessment framework for residential modular buildings: aggregated sustainability indices £Û J £Ý . Building and Environment, 2018, 138: 21 - 41.

£Û 14 £Ý ANSAH M K, CHEN X, YANG H X, et al. Developing an automated BIM - based life cycle assessment approach for modularly designed high - rise buildings £Û J £Ý . Environmental Impact Assessment Review, 2021, 90: 106618.

£Û 15 £Ý GODBOLE S, LAM N, MAFAS M, et al. Dynamic loading on a prefabricated modular unit of a building during road transportation £Û J £Ý . Journal of Building Engineering, 2018, 18: 260 - 269.

£Û 16 £Ý GODBOLE S, LAM N, MAFAS M M M, et al. Pounding of a modular building unit during road transportation £Û J £Ý . Journal of Building Engineering, 2021, 36: 102120.

£Û 17 £Ý CAO K, ZHAI S Y, LYU Y F, et al. Working mechanism evaluations of full - scale joints with bolted - cover plate connection for modular steel buildings £Û J £Ý . Thin - walled Structures, 2024, 199: 111772.

£Û 18 £Ý LI X Q, LU W S, PENG Z Y. Generative design for modular construction structures based on expert knowledge - informed graph neural networks and meta - heuristics £Û J £Ý . Automation in Construction, 2025, 179: 106463.

£Û 19 £Ý HABIB A, AL HOURI A, ALIBRAHIM B, et al. Behavior and sustainability benefits of modular steel buildings £Û J £Ý . International Journal of Sustainable Engineering, 2025, 18(1): 2459715.

£Û 20 £Ý³ÂÊ¥¸ñ , ÖÜæà , ³ÂÖ¾»ª , µÈ . Ä£¿é½¨Öþ²ÎÊý»¯Æ½ÃæÓÅ»¯¼°ÖÇÄÜ»¯½á¹¹Éè¼Æ·½·¨£Û J £Ý . ÖØÇì´óѧѧ±¨ ,2021,44(9):51 - 66.

CHEN Shengge, ZHOU Ting, CHEN Zhihua, et al. Parametric plan optimization and structural intelligent design method of modular steel buildings £Û J £Ý . Journal of Chongqing University (Natural Science Edition), 2021, 44(9): 51 - 66.

£Û 21 £Ý WANG L F, LIU J P, ZENG Y, et al. Automated building layout generation using deep learning and graph algorithms £Û J £Ý . Automation in Construction,2023,154:105036.

£Û 22 £Ý XIN Y P, ZHOU Y, LIU Y Y. Prompts to layouts: hybrid graph neural network and agent - based model for generative architectural design £Û J £Ý . Automation in Construction, 2025, 176: 106253.

£Û 23 £ÝÑîöÌ , ½­·å . »ùÓÚ»ìºÏÖÇÄÜËã·¨µÄÍä¼ôÐÍ¿ò¼Ü½á¹¹¿¹ÕðÓÅ»¯Éè¼Æ£Û J £Ý . ÖÇÄܽ¨ÖþÓëÖǻ۳ÇÊÐ ,2021(4):94 - 96.

YANG Liu, JIANG Feng. Seismic optimization design of bending shear frame structure based on hybrid intelligent algorithm £Û J £Ý . Intelligent Building & City Information, 2021(4): 94 - 96.

[ 24 £Ý ZHAO P J, LIAO W J, HUANG Y L, et al. Intelligent beam layout design for frame structure based on graph neural networks £Û J £Ý . Journal of Building Engineering, 2023, 63: 105499.

[ 25 £Ý GAN V J L. BIM - based graph data model for automatic generative design of modular buildings £Û J £Ý . Automation in Construction, 2022, 134: 104062.

[ 26 £Ý LIN X, CHEN J J, LU W S, et al. An edge - weighted graph triumvirate to represent modular building layouts £Û J £Ý . Automation in Construction, 2024, 157: 105140.

[ 27 £Ý LIU J P, QIU Z J, WANG L F, et al. Intelligent floor plan design of modular high - rise residential building based on graph - constrained generative adversarial networks £Û J £Ý . Automation in Construction, 2024, 159: 105264.

£Û 28 £Ý ALMASHAQBEH M, EL - RAYES K. Optimizing the modularization of floor plans in modular construction projects £Û J £Ý . Journal of Building Engineering, 2021, 39: 102316.

[ 29 £Ý³£Ã÷æ , ÖìÛ¿¿¥ , ³Âèº , µÈ . Ä£¿é»¯¸Ö½á¹¹½¨ÖþƽÃæ²¼¾Ö·½°¸ÖÇÄÜÉú³ÉʽÉè¼Æ·½·¨£Û J £Ý . ½¨Öþ¸Ö½á¹¹½øÕ¹ ,2024,26(2):83 - 89,103.

CHANG Mingyuan, ZHU Shaojun, CHEN Tao, ª© et al ªª . Intelligent generative method for the planar layout of modular steel building structures £Û J £Ý . Progress in Steel Building Structures, 2024, 26(2): 83 - 89, 103.

[ 30 £Ý FAN Z S, LIU J P, WANG L F, et al. Automated layout of modular high - rise residential buildings based on genetic algorithm £Û J £Ý . Automation in Construction, 2023, 152: 104943.

[ 31 £Ý ZHENG Z H, LI Y Q, TORRES J. An integrated method of automated layout design and optimization for modular construction £Û J £Ý . Engineering, Construction and Architectural Management, 2024, 31(3): 1016 - 1036.

[ 32 £Ý RANGASAMY V, YANG J B. AI - driven generative design and optimization in prefabricated construction £Û J £Ý . Automation in Construction, 2025, 177: 106350.

[ 33 £Ý LIAO W J, LU X Z, FEI Y F, et al. Generative AI design for building structures £Û J £Ý . Automation in Construction, 2024, 157: 105187.

[ 34 £Ý KHAN A, CHANG S, CHANG H. Generative AI approaches for architectural design automation £Û J £Ý . Automation in Construction, 2025, 180: 106506.

£Û 35 £Ý GHANNAD P, LEE Y C. Automated modular housing design using a module configuration algorithm and a coupled generative adversarial network (CoGAN) £Û J £Ý . Automation in Construction, 2022, 139: 104234.

£Û 36 £Ý SHEIJANI S S, MOMENAEI A, HASSANZADE H. Automating modular open - plan office layouts with performance - based generative design £Û J £Ý . Automation in Construction, 2024, 167: 105692.

£Û 37 £Ý LIN X, SU P Y, LU W S, et al. ModulePacking: a top - down generative design approach for modular key plans £Û J £Ý . Journal of Computing in Civil Engineering, 2025, 39: 04024047.

Memo

Memo:

-

Common functions

Last Update: 2026-01-20