Date of Publication

3-2025

Document Type

Master's Thesis

Degree Name

Bachelor of Science in Civil Engineering (Honors) - Ladderized

Subject Categories

Civil Engineering

College

Gokongwei College of Engineering

Department/Unit

Civil Engineering

Thesis Advisor

Jason Maximino C. Ongpeng
Vachara Peansupap

Defense Panel Chair

Cheryl Lyne C. Roxas

Defense Panel Member

Maria Emilia P. Sevilla
Daniel Nichol R. Valerio

Abstract (English)

Construction Site Layout Planning (CSLP) is a pre-construction facility placement strategy that is often given inadequate considerations in planning. Given its complex and intricate nature, CSLP usually proceeds unquantified and approximated. The lack of well-informed decision-making and automation in CSLP causes various inconsistencies and deficiencies in construction projects. As an innovative approach to CSLP, this study investigates the use of Generative Design for proposing a CSLP framework. The proposed framework aims to contribute to the automation and application of optimization through the use of Generative Design. Through modelling and programming, Generative Design tackles CSLP through visuals and optimization. The Galapagos solver utilized the Genetic Algorithm and Simulated Annealing to reproduce benchmark results. Obstacle detection and dynamic phasing were considered in a three dimensional space. A case study was conducted taking input from project information and verifying results in a demonstrative interview with the site planner. Results produced a CSLP framework with real-time model responsiveness and approximately optimized layout within one hundred stagnant populations. Integration of physics simulations, multi-objective simulation and environment scanning could further promote the applicability and industry integration of the framework.

Abstract Format

html

Abstract (Filipino)

None

Abstract Format

html

Language

English

Format

Electronic

Keywords

Building sites

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Embargo Period

3-2026

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