Publications by Qianqing Wang | EPFL Graph Search

Microstructure generation and modeling for digital construction of stone masonry walls

Using locally available, unprocessed stones as construction material offers a promising solution to meet the modern construction industry's sustainability and low-carbon footprint requirements. Stone masonry construction typically depends on the expertise ...

EPFL2025

Geometric planning for masonry wall construction with natural stones using discrete convolution

Katrin Beyer, Qianqing Wang

Using unprocessed materials in construction is a promising approach to reducing energy and material consumption in the building industry. This paper presents a geometric planning algorithm for constructing multi-leaf masonry walls using natural stones. Our ...

2025

Automated construction of multi-leaf walls with natural stones

Katrin Beyer, Qianqing Wang, Ketson Roberto Maximiano Dos Santos

This paper introduces an innovative strategy for the construction of multi-leaf walls utilizing raw stones, a significant step forward in sustainable building practices. Our approach leverages advanced computational algorithms and image processing techniqu ...

EDP Sciences2024

Micro modeling of irregular stone masonry walls using mathematical programming

Katrin Beyer, Qianqing Wang, Ketson Roberto Maximiano Dos Santos

While understanding the shear strength of stone masonry structures is important for the design and the mainte- nance, we still lack computational tools for predicting the strength as a function of the stone layout. Here we implement an end-to-end image bas ...

Springer2024

An image convolution-based method for the irregular stone packing problem in masonry wall construction

Katrin Beyer, Bryan German Pantoja Rosero, Qianqing Wang, Ketson Roberto Maximiano Dos Santos

2024

Applying a 2D Variational Rigid Block Modeling Method to Rubble Stone Masonry Walls Considering Uncertainty in Material Properties

Katrin Beyer, Qianqing Wang, Mathias Christian Haindl Carvallo

The computational cost of detailed micro-modeling of masonry structures can be minimized with rigid block analysis methods, where a variational formulation is particularly interesting as it allows for nonlinear pushover analysis. This work investigates the ...

2024

Rising from rubble - Leveraging existing construction tools for upcycling concrete waste into slender walls

Katrin Beyer, Corentin Jean Dominique Fivet, Stefana Parascho, Qianqing Wang, Maxence Grangeot

In this paper, we present a new method for upcycling concrete rubble waste into slender walls through the lightweight digital augmentation of mainstream construction machines. By using such method, the environmental impact of concrete construction and demo ...

Springer2024

Structural Concrete Rubble Arrangements - A Framework for Upcycling Demolition Waste into Slender Masonry Walls for Buildings

Katrin Beyer, Corentin Jean Dominique Fivet, Stefana Parascho, Qianqing Wang, Maxence Grangeot

Reused concrete rubble is a challenging material to design and construct with despite its potential for diverging waste from landfilling and energyintensive recycling. We propose a design to construction framework that leverages a camera and computationall ...

Springer Nature Switzerland2024

Projector-based augmented stacking framework for irregularly shaped objects

Katrin Beyer, Yves Weinand, Julien Gamerro, Andrea Settimi, Qianqing Wang, Edward Carlo Giorgio Andò

Augmented reality in additive fabrication is predominantly applied to the manufacturing of structures from regularly shaped materials. Our work however embraces natural heterogeneity, by focusing on the assembly of irregularly shaped elements such as miner ...

2023

Deep Q-learning agent for building earthquake resisting wall

Katrin Beyer, Qianqing Wang, Ketson Roberto Maximiano Dos Santos

The construction of dry-joint brick masonry that is subject to seismic loading can be modelled as a strategy problem wherein bricks must be laid to form a load resisting structure. To learn how to mount bricks while considering relevant engineering criteri ...

2022