Design as Exploration: Multi-objective and Multi-disciplinary Design Exploration and Optimization of Indoor Sports Buildings

PHD Research

Ding Yang

PHD

 

 

PhD started in: 2011 (SCUT);

2014 (TU Delft)

 

Latest graduate degree (a two-year degree equivalent to M.Arch) 2011

 

undergraduate degree (B.Arch)  2009

 

Promoter(s):

 

Prof. dr. ir. Arch. I.S. Sariyildiz

Prof. dr. ir. J.C. Paul

Daily Supervisor(s):

Assistant Prof. dr. MSc. Arch. Michela Turrin

 

 

Main Question:

How computational design exploration can help the optimization problem (re)formulation and hence obtain meaningful optimization results?

 

 

Deliverables:

As TUDelft affiliated, seven peer-reviewed conference papers were published in 2015-2016. Two journal papers are on-going.

 

 

 

 

 

 

Keywords: computational design, performance-based design, design exploration, multi-objective optimization, multi-disciplinary optimization, indoor sports building

 

Area of Research: Computation & Performance

 

 

Chair of Design Informatics, Dept. of Architectural Engineering + Technology, Faculty of Architecture

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Research Summary:

My PhD research, in collaboration with Arup Amsterdam and ESTECO, aims at developing a performance-based design approach for the conceptual design of indoor sports buildings. By utilizing multi-objective and multi-disciplinary design exploration and optimization techniques, the proposed approach is expected to improve multiple building performances simultaneously, including energy, daylight and structural performance aspects; and support the trade-off decision-making. However, in the conceptual building design, the appropriateness of the optimization problem formulation (OPF) is seldom brought into discussion. Thus, its importance is often overlooked. In response, this research emphasizes the importance of the OPF by focusing on the utility of iterative optimization problem re-formulation. The hypothesis of this research is that a posteriori knowledge extracted from a board design exploration is helpful to re-formulate a proper design optimization problem and hence obtain meaningful optimization results.

 

 

Research Methodology:

This research is structured in three phases, i.e. Introduction and state of the art; Model development, implementation and verification; Conclusion. In the first phase, preliminary literature review is carried out in order to gather enough background information on the main research problems, thus research objectives and questions are formulated. In the second phase, the model is developed iteratively and verified through several case studies. Finally, the last phase summarizes main findings and limitations of this research, states main contributions, and identifies future research directions.

 

 

Key Publications:

Yang, D., Sun, Y., di Stefano, D., Turrin, M., & Sariyildiz., S. (2016, July). Impacts of problem scales and sampling strategies on surrogate model accuracy. In 2016 IEEE Congress on Evolutionary Computation (CEC) (pp. 4199-4207). IEEE.

Turrin, M., Yang, D., D’Aquilio, A., Sileryte, R., & Sun, Y. (2016, July). Computational design for sport buildings. Procedia Engineering, 147, 878-883. (EI Compendex: 20163202701686)

Yang, D., Sun, Y., Sileryte, R., D’Aquilio, A., & Turrin, M. (2016, May). Application of surrogate models for building envelope design exploration and optimization. In 2016 Proceedings of the Symposium on Simulation for Architecture and Urban Design (pp. 11-14), London, UK, 16-18, May, 2016.

D’Aquilio, A., Sileryte, R., Yang, D., & Turrin, M. (2016, May). Simulating natural ventilation in large sports buildings: prediction of temperature and airflow patterns in the early design stages. In 2016 Proceedings of the Symposium on Simulation for Architecture and Urban Design (pp. 43-50), London, UK, 16-18, May, 2016.

Sileryte, R., D’Aquilio, A., di Stefano, D., Yang, D., & Turrin, M. (2016, May). Supporting Exploration of Design Alternatives using Multivariate Analysis Algorithms. In 2016 Proceedings of the Symposium on Simulation for Architecture and Urban Design (pp. 215-222), London, UK, 16-18, May, 2016. (Best Paper Award)

Yang, D., Sun, Y., Turrin, M., von Buelow, P., & Paul, J. C. (2015, August). Multi-objective and multidisciplinary design optimization of large sports building envelopes: a case study. In Proceedings of the International Association for Shell and Spatial Structures (IASS) Symposium "Future Visions", Amsterdam, The Netherlands, 17-20, August 2015.

Yang, D., Turrin, M., Sariyildiz, S., & Sun, Y. (2015, May). Sports building envelope optimization using multi-objective multidisciplinary design optimization (M-MDO) techniques: case of indoor sports building project in China. In 2015 IEEE Congress on Evolutionary Computation (CEC) (pp. 2269-2278), IEEE. (EI Compendex: 20161602267177).

 

CONTACT

 

 

Telnr +3127892136

 

Room 01+.West.040

 

Faculty of Architecture and the

Built Environment

 

Building 8

 

Julianalaan 134

 

2628 BL Delft