Life cycle assessment, energy and exergy analysis in an indirect cabinet solar dryer equipped with phase change materials

P Mirzaee, P Salami, HS Akhijahani, S Zareei - Journal of Energy Storage, 2023 - Elsevier
This study investigated the effect of using phase change materials (PCMs) in a cabinet dryer
on thermal and drying efficiency. Three positions related to PCM inside the cabinet were …

Effects of binder proportion and curing condition on the mechanical characteristics of volcanic ash-and slag-based geopolymer mortars; machine learning integrated …

MH Nofalah, P Ghadir, H Hasanzadehshooiili… - … and Building Materials, 2023 - Elsevier
Contradicting natures of volcanic ash (VA)-and ground granulated blast furnace slag
(GGBFS)-based geopolymers with regard to their need for being exposed to a heating …

Multiscale soft computing-based model of shear strength of steel fibre-reinforced concrete beams

S Alzabeebee, RKS Al‑Hamd, A Nassr… - Innovative Infrastructure …, 2023 - Springer
Concrete is weak in tension, so steel fibres are added to the concrete members to increase
shear capability. The shear capacity of steel fibre-reinforced concrete (SFRC) beams is …

New model to predict bearing capacity of shallow foundations resting on cohesionless soil

S Alzabeebee, YMA Alshkane… - Geotechnical and …, 2023 - Springer
Predicting the bearing capacity is one of the tasks that geotechnical engineers do on a daily
basis, yet the accuracy of the available methods needs to be further improved. This paper …

SNR: Symbolic network-based rectifiable learning framework for symbolic regression

J Liu, W Li, L Yu, M Wu, L Sun, W Li, Y Li - Neural Networks, 2023 - Elsevier
Symbolic regression (SR) can be utilized to unveil the underlying mathematical expressions
that describe a given set of observed data. At present, SR can be categorized into two …

Analysis of bored pile subjected to machine vibration: an insight into the influence of the soil-pile interface coefficient

S Alzabeebee, JT Chavda… - Transportation …, 2023 - Springer
Settlement limitation is one of the major concerns for the designers of machine foundation as
machines are very sensitive to settlement. This restricted criterion necessitates the need for …

The evaluation in the urban projects planning: a logical-deductive model for the definition of “warning areas” in the Esquilino District in the City of Rome (Italy)

P Morano, F Tajani, F Di Liddo, I La Spina - Smart Cities, 2023 - mdpi.com
With reference to the current focus on urban redevelopment issue, the evaluation of the
projects plays a central role for the definition of effective urban development policies. In the …

Bond behaviour of rebar in concrete at elevated temperatures: A soft computing approach

RKS Al Hamd, S Alzabeebee… - Fire and …, 2023 - Wiley Online Library
This paper assesses the capability of using a new data‐driven approach to predict the bond
strength between steel rebar and concrete subjected to high temperatures. The analysis has …

Mechanical characterization of marl soil treated by cement and lignosulfonate under freeze–thaw cycles: experimental studies and machine-learning modeling

A Shafiei, M Aminpour, H Hasanzadehshooiili… - Bulletin of Engineering …, 2023 - Springer
Calcium carbonate-enriched marl is supposed to lose the bearing capacity while subjected
to an increase/decrease in the moisture content and under the effect of multiple freeze–thaw …

Assessment of ERA5-Land Data in Medium-Term Drinking Water Demand Modelling with Deep Learning

P Dhawan, D Dalla Torre, A Zanfei, A Menapace… - Water, 2023 - mdpi.com
Drinking water demand modelling and forecasting is a crucial task for sustainable
management and planning of water supply systems. Despite many short-term investigations …