International Concrete Abstracts Portal

Title: Numerical Simulation of Internal Relative Humidity of Concrete Exposed to Drying

Author(s): Sarah De Carufel, Andrew Fahim, Pouria Ghods, and Rouhollah Aalizadeh

Publication: Materials Journal

Volume: 117

Issue: 6

Appears on pages(s): 101-110

Keywords: ASTM F2170; concrete drying; concrete relative humidity; finite element modeling; moisture transport; permeability; pore size distribution; resilient flooring

Date: 11/1/2020

Abstract:
This paper presents a model developed to predict the internal relative humidity (RH) of concrete during drying. The model makes use of simplified inputs, including the concrete mixture design and the cement Bogue composition, thus making it accessible to engineers and practitioners. These inputs are used to separately determine the permeability of both liquid and vapor phases, hence solving for moisture transport through an empirical derivation of the (de) sorption isotherm, total porosity, and pore tortuosity. The model is validated using previously published literature data as well as experiments designed specifically for model validation. The model was found successful in predicting RH profiles for the validation data with the simple inputs required. However, it was found that in cases where the standardized ASTM F2170 method is used to measure RH, the agreement between the model and experimental data decreases. This was found to be related to errors associated with performing humidity measurements within cavities drilled in concrete. Such errors are discussed, and room for improvement in in-place humidity measurements is proposed. Finally, the model is used to validate the use of RH measurements at a specific concrete depth to evaluate the susceptibility of moisture-sensitive flooring to failures.

Leave a Reply

Your email address will not be published. Required fields are marked *

Related Articles

Concrete International

DESCRIPTION Concrete International is the magazine of the concrete community, published monthly by ACI. CI’s circulation is concentrated among professionals in the concrete field – the engineers, architects, contractors, manufacturers, researchers, and technicians largely responsible for…

Giatec to Help Reduce Concrete Emissions

Giatec has unveiled an artificial intelligence (AI) programme, which it believes can reduce greenhouse gas (GHG) emissions in the concrete industry by up to 20%.  The strategy is based on a new AI tool to cut…

Giatec Aims to Reduce 400 Million Tons of GHG with AI

Along with the extended development of the Giatec SmartMix AI program, the company also plans to planting one tree for every product order shipped worldwide to offset the impact of GHG emissions. Giatec’s strategy to cut…

New AI to Reduce GHG Emissions in Concrete Industry

On the verge of a global summit aimed at reducing Greenhouse Gases (GHG), Giatec, an innovator for building more sustainable concrete, announced a strategy based on a new artificial intelligence (AI) tool to cut at least…

Concrete convention showcases latest research on AI, 3D printing

The architecture, engineering and construction industry is well-versed in the concrete design principles needed to optimize productivity. However, the advanced technologies that could take that productivity to the next level are less mature. Structural engineering researchers have…

Global Remote Construction Market – Top 10 Key players in 2021 |Autodesk Inc, Hitachi Ltd, Oracle Corporation, Giatec Scientific, Inc

Remote Construction Market Business Strategies, Acquisitions and Mergers, Revenue, Share, Region, and Global Forecast 2021-2027 Infinity Business Insights has introduced a new comprehensive update on the global Remote Construction Market to its extensive repository. This global research study offers…

We use cookies to provide you with a better experience, analyze site traffic and assist in our marketing efforts. By continuing to use this website, you consent to the use of cookies in accordance with our Privacy Policy Page.