Projects delays are among the most pressing challenges faced by construction sector attributed to sector's complexity and its inherent delay risk sources' interdependence. Machine learning offers an ideal set of techniques capable tackling such complex systems; however, adopting within remains at early stage. The goal this study was identify develop machine models in order facilitate accurate project analysis prediction using objective data sources. As such, relevant sources factors were...

Masonry infill panels in framed structures have been long known to affect strength, stiffness, and ductility of the composite structure. In seismic areas, ignoring action is not always on safe side, since interaction between panel frame under lateral loads dramatically changes stiffness dynamic characteristics structure, hence, its response loads. This study presents a simple method estimating load capacity concrete masonry-infilled steel frames (CMISFs) failing corner crushing mode, as well...

A Nuclear Power Plant (NPP) is a complex dynamic system-of-systems with highly nonlinear behaviors. In order to control the plant operation under both normal and abnormal conditions, different systems in NPPs (e.g., reactor core components, primary secondary coolant systems) are usually monitored continuously, resulting very large amounts of data. This situation makes it possible integrate relevant qualitative quantitative knowledge artificial intelligence techniques provide faster more...

Abstract Subsurface characterization is critical in understanding and controlling many natural industrial processes including groundwater movement, oil extraction, geological carbon dioxide sequestration. While recent advances three‐dimensional (3D) imaging of core samples have enabled digital subsurface characterization, the exorbitant computational cost associated with direct numerical simulation 3D remains a persistent challenge. In contrast, machine learning models are much more...

Continuous effluent quality prediction in wastewater treatment processes is crucial to proactively reduce the risks environment and human health. However, an extremely complex process controlled by several uncertain, interdependent, sometimes poorly characterized physico-chemical-biological parameters. In addition, there are substantial spatiotemporal variations, uncertainties, high non-linear interactions among water parameters variables involved process. Such complexities hinder efficient...

In this paper, the possibility of achieving a high level ductility by flexural yielding in fully grouted reinforced concrete masonry shear walls is evaluated. Six full-scale were tested to failure under reversed cyclic lateral loading investigate effects amount and distribution vertical reinforcement axial compressive stress on inelastic behavior ductility. Results showed that outermost bars extended height equivalent half wall length. Also, top displacement (drift) at onset was highly...

Composite materials are becoming more affordable and widely used for retrofitting, rehabilitating repairing reinforced concrete structures designed constructed under older specifications. However, the mechanical properties long-term durability of composite may degrade severely in presence water intrusion. This study presents a new non-destructive evaluation (NDE) technique detecting intrusion by evaluating dielectric different system constituent materials. The variation signatures was...

Abstract Wastewater flow forecasting is key for proper management of wastewater treatment plants (WWTPs). However, to predict the amount incoming in WWTPs, engineers face challenges arising from numerous complexities and uncertainties, such as nonlinear precipitation-runoff relationships combined sewer systems, unpredictability due aging infrastructure, frequently inconsistent data quality. To address challenges, a time series analysis model (i.e., autoregressive integrated moving average,...

Hydrological forecasting is key for water resources allocation and flood risk management. Although a number of advanced hydrological methods have been developed in the past, daily (or subdaily) remains major challenge engineering hydrology. The uncertainties associated with input data, model parameters, structure necessitate developing more robust modeling techniques. In this study, hybrid machine-learning approach based on data-driven streamflow forecasting. proposed (HHDD) succeeds...

Background The lack of dark skin images in pathologic lesions dermatology resources hinders the accurate diagnosis people color. Artificial intelligence applications have further disadvantaged color because those are mainly trained with light images. Objective aim this study is to develop a deep learning approach that generates realistic darker colors improve data diversity for various malignant and benign lesions. Methods We collected clinical common conditions from DermNet NZ,...

Floods have been among the costliest hydrometeorological hazards across globe for decades, and are expected to become even more frequent cause larger devastating impacts in cities due climate change. Digital twin technologies can provide decisionmakers with effective tools rapidly evaluate city resilience under projected floods. However, development of digital twins flood predictions is challenging time-consuming, uncertain processes developing, calibrating, coupling physics-based hydrologic...

Scour-induced failures of bridges pose a global challenge, leading to significant economic and service losses. Compounded by infrequent inspections inadequate consideration hydro-geological factors in current scour risk assessments, this issue is particularly pressing the context climate change associated hazards. Addressing imperative for enhanced infrastructure resilience, study introduces framework management. Utilizing Geographic Information Systems (GIS) datasets applying Analytic...

In this paper, seven reinforced concrete-block shear walls with aspect ratios of 1.5 and 2.2 (two- three-storey high) were tested under displacement-controlled cyclic loading. The response rectangular, flanged, end-confined walls, designed to have the same lateral resistance when subjected axial load, is discussed. general, high levels ductility accompanied by relatively small strength degradation observed in all a significant increase displacement capabilities for flanged compared...

There is a need to evaluate existing, and introduce new, masonry construction techniques within performance-based seismic design context advance their adoption in the next generation of codes North America. In this regard, reinforced (RM) structural wall system that incorporates confining boundary elements plastic hinge region presently lacks specific requirements Masonry Standards Joint Committee Canadian Association S304.1 codes. addition, RM systems are omitted completely from plan...

The design of reinforced masonry (RM) structural walls subject to high inelastic curvature demands can often be hindered by prescriptive requirements in codes regarding the ratio between compression zone depth (c) and wall length (ℓw). A possible solution this would detailing a confined boundary element at critical toes increase ductility capacity plastic hinge region. Masonry Standards Joint Committee (MSJC) code currently prescribes use such elements for special shear category. However,...

The seismic interaction of unanchored objects with a seismically qualified system or component in nuclear power plant (NPP) can be detrimental to safety. In order assess the risk, an accurate quantification response components, such as spent-fuel dry storage casks, portable standby generators, electrical transformers, unreinforced masonry radiation shielding walls, etc., is required. rocking and toppling vulnerability not covered standards, guidelines, reports, except for approximate method...

Squat reinforced concrete shear walls with boundary elements (SRCSW-BE) are used in special structures (e.g., nuclear facilities) to resist lateral seismic loads. However, several studies have demonstrated the inaccuracy of relevant current strength prediction expressions ASCE/SEI 43-05). Specifically, originally developed based on empirical or experimentally calibrated analytical models (using different datasets) showed discrepancies when their predictions were compared experimental results...

The importance of ensuring the resilience (rapid adaptation to and recovery from disruptions) infrastructure projects in modern societies can be hardly overstated. However, relying solely on currently available tools, managing such continues challenging because their intrinsic complexities dynamic spatiotemporal interdependencies. In this respect, objective current study is develop apply a novel framework for resilience-driven management projects. By-design, ensures project through...