Aspects of Buildability for Automated Bridge Design
Paper i proceeding, 2025

Buildability and climate impact aspects are central in civil engineering projects, however, climate impact is not prioritized over buildability. Consequently, identifying designs that meet both buildability and climate impact objectives are challenging. Design automation with machine learning have been suggested as an approach, although a quantification of buildability is difficult. The purpose of this study was to explore practical buildability where the objective was to establish and list buildability aspects. A series of semi-structured interviews were conducted with experienced construction engineers. The result indicates that practical buildability encompasses systematic requirement management, capturing dependencies ramification, method decisions, design options, binary feasibility, resources, accessibility and availability, and time and schedule. Hence, a quantification could be possible, albeit specific for each buildability aspect.

bridge design

Automation

climate impact

buildability

machine learning

Författare

Alexander Kjellgren

Chalmers, Arkitektur och samhällsbyggnadsteknik

Helén Broo

Chalmers, Arkitektur och samhällsbyggnadsteknik

Per Kettil

Chalmers, Arkitektur och samhällsbyggnadsteknik

Mikael Johansson

Chalmers, Arkitektur och samhällsbyggnadsteknik

Rasmus Rempling

Chalmers, Arkitektur och samhällsbyggnadsteknik

Mats Granath

Göteborgs universitet

IABSE Symposium Tokyo 2025 Environmentally Friendly Technologies and Structures Focusing on Sustainable Approaches Report

1546-1554
9783857482069 (ISBN)

IABSE Symposium Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches
Tokyo, Japan,

Ämneskategorier (SSIF 2025)

Byggprocess och förvaltning

Beräkningsmatematik

Infrastrukturteknik

DOI

10.2749/tokyo.2025.1546

Mer information

Senast uppdaterat

2025-07-02