Publications related to Pedagogy of an interdisciplinary, hands-on workshop to design and build floor systems with reused materials

Related publications (24)

A bio-chemo-hydro-mechanical model of transport, strength and deformation for bio-cementation applications

Bio-cementation through microbially induced calcite precipitation (MICP) has the potential to overcome several technical and environmental limitations of conventional cement-based soil improvement techniques. While a significant amount of research has been ...

Springer Heidelberg2024

Interdisciplinary contributions to engineering ethics education

Roland John Tormey

This section of the handbook aims to provide readers with a conceptual toolbox that can enhance the reading of ideas and concepts that emerge in other sections and later chapters. This reflects that many of the ideas and directions of travel in engineering ...

Routledge2024

Low-tech methods for the reuse of reinforced concrete structural elements

Nicole Widmer, Corentin Jean Dominique Fivet, Maléna Bastien Masse, Julie Rachel Devènes

Most of existing buildings are made of concrete, new buildings are being built with it and others are demolished when still in good structural condition. This drives increased demands for raw materials, greenhouse gas emissions, and an accumulation of demo ...

2023

Experimental investigations of a new highly ductile hold-down with adaptive stiffness for timber seismic bracing walls

Pierino Lestuzzi

An efficient implementation of the capacity design requires high ductility combined with a low overstrength of the critical regions. Conventional timber connections do not generally offer such ideal combination, resulting in modest behaviour and relatively ...

SPRINGER2023

Efficacy of temporal and spatial abstraction for training accurate machine learning models: A case study in smart thermostats

Rachid Guerraoui, Alexandre David Olivier Maurer

Smart thermostats are increasingly popular in homes and buildings as they improve occupant comfort, lower energy use in heating and cooling systems, and reduce utility bills by automatically adjusting room temperature according to measurements of their bui ...

ELSEVIER SCIENCE SA2023

Influence of sustained loading on resistance and deformation capacity of reinforced concrete members in compression

Aurelio Muttoni, Miguel Fernández Ruiz, Xhemsi Malja

As acknowledged explicitly or implicitly in most of current design codes, a high level of sustained loading has a detrimental effect on the concrete compressive strength. However, its beneficial effect in terms of deformation capacity is neglected in most ...

ERNST & SOHN2022

Pre-bcc: A novel integrated machine learning framework for predicting mechanical and durability properties of blended cement concrete

Hisham Tarek Mohamed Hafez

Partially replacing ordinary Portland cement (OPC) with low-carbon supplementary cementitious materials (SCMs) in blended cement concrete (BCC) is perceived as the most promising route for sustainable concrete production. Despite having a lower environment ...

ELSEVIER SCI LTD2022

Oxidation of pyrite (FeS2) and troilite (FeS) impurities in kaolinitic clays after calcination

Karen Scrivener, Franco Alberto Zunino Sommariva

Valorisation of locally available clays for producing blended cements is crucial for a widespread adoption of sustainable binders incorporating these materials. In some places, clays can be intermixed with small amounts of iron sulfides, which could eventu ...

SPRINGER2022

Characterization of shear deformations in reinforced concrete members without shear reinforcement

Aurelio Muttoni, Miguel Fernández Ruiz, Raffaele Cantone, Andri Setiawan

The load-carrying capacity of many reinforced concrete structures is governed by shear failures, occurring before reaching the flexural capacity of the member. For redundant systems, such as slabs subjected to concentrated loads, local shear failures (typi ...

2022

Ride-sharing with inflexible drivers in the Paris metropolitan area

Patrick Stefan Adriaan Stokkink

In ride-sharing, commuters with similar itineraries share a vehicle for their trip. Despite its clear benefits in terms of reduced congestion, ride-sharing is not yet widely accepted. We propose a specific ride-sharing variant, where drivers are completely ...

SPRINGER2022

Testing mechanical performance of adhesively bonded composite joints in engineering applications: an overview

Anastasios Vassilopoulos

The development of new adhesives has allowed to expand the application of bonding into the most diverse industrial fields. This review article presents the commonly used experimental methods for the investigation of mechanical performance of adhesively bon ...

TAYLOR & FRANCIS LTD2022

Dif-MAML: Decentralized Multi-Agent Meta-Learning

Ali H. Sayed, Stefan Vlaski, Mert Kayaalp

The objective of meta-learning is to exploit knowledge obtained from observed tasks to improve adaptation to unseen tasks. Meta-learners are able to generalize better when they are trained with a larger number of observed tasks and with a larger amount of ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Process-informed adsorbent design guidelines for direct air capture

Berend Smit

Direct air capture using solid adsorbents is a proven technology critical to reducing our net greenhouse gas emissions to zero and beyond. Currently, academic research into the technology mainly focuses on the devel-opment of new adsorbents. However, there ...

ELSEVIER SCIENCE SA2022

Experimental Study on the Static and Fatigue Behaviour of a New Mechanical Wedge-Barrel Anchor

Alain Nussbaumer

Post-tensioned steel strands have been traditionally used in different prestressed structures such as concrete girders, post-tensioned concrete slabs, cable-stayed bridges, post-tensioned walls, etc. for a long time. However, due to the vulnerability of st ...

SPRINGER-VERLAG SINGAPORE PTE LTD2022

Semantic Segmentation of Remote Sensing Images With Sparse Annotations

Devis Tuia

Training convolutional neural networks (CNNs) for very high-resolution images requires a large quantity of high-quality pixel-level annotations, which is extremely labor-intensive and time-consuming to produce. Moreover, professional photograph interpreter ...

2022

Quality criteria for multi-domain studies in the indoor environment: Critical review towards research guidelines and recommendations

Dolaana Khovalyg, Giorgia Chinazzo, Mandana Sarey Khanie, Verena Marie Barthelmes, Matteo Favero

The perception, physiology, behavior, and performance of building occupants are influenced by multi-domain exposures: the simultaneous presence of multiple environmental stimuli, i.e., visual, thermal, acoustic, and air quality. Despite being extensive, th ...

PERGAMON-ELSEVIER SCIENCE LTD2022

Understanding the coherent structures for different fluctuation frequencies at partial load condition of a Francis turbine

François Avellan

More and more hydropower plants are operating as regulator of renewable energy such as solar and wind energy resources. Because these renewable energy resources are highly volatile, so hydraulic turbines have to switch working condition in a wide flow rang ...

IOP Publishing2021

Similarity conditions and cube model tests of snow drift and precipitation preferential deposition patterns

Michael Lehning

We explore the process of modeling aeolian snow transport around buildings by proposing a set of similarity requirements on simulating a single snow fall event with drifting. The similarity criteria are used to guide our wind tunnel tests from the particle ...

ELSEVIER2021

Seismic vulnerability assessment of free-standing massive masonry columns by the 3D Discrete Element Method

Jinwoo Kim

Free-standing masonry column is a recurrent typology of built cultural heritage. Usually raised without seismic design, columns are subject to intense rocking and overturning under strong ground motions. In this paper, a strategy to assess their seismic vu ...

ELSEVIER SCI LTD2021

Closed-Loop Neural Interfaces with Embedded Machine Learning

Mahsa Shoaran, Bingzhao Zhu, Uisub Shin

Neural interfaces capable of multi-site electrical recording, on-site signal classification, and closed-loop therapy are critical for the diagnosis and treatment of neurological disorders. However, deploying machine learning algorithms on low-power neural ...

IEEE2020