Accurately predicting dam deformation is crucial for understanding its operational status. However, existing models struggle to effectively capture the spatiotemporal correlations in monitoring data and quantify uncertainty within dam systems. This paper presents an innovative uncertainty quantification model for evaluating regional deformation in arch dams. First, a method to extract the spatiotemporal

Underwater defects in piers pose potential hazards to the safety and durability of river‐crossing bridges. The concealment and difficulty in detecting underwater defects often result in their oversight. Acoustic methods face challenges in directly achieving accurate measurements of underwater defects, while optical methods are time‐consuming. This study proposes a two‐step rapid inspection method for

Prefabricated ceiling radiant panel is one type of efficient and lightweight radiant heating and cooling terminal, which has been widely used in many commercial and residential buildings. The surface temperature distribution of radiant terminal is a crucial factor that affects the local thermal discomfort for heating and the surface condensation risk for cooling. However, the existing research on surface

Accurate fault diagnosis of chillers is essential for extending equipment lifespan and reducing energy consumption. Currently, data-driven diagnostic models for chillers exhibit impressive performance. However, the outstanding performance is only guaranteed in condition of sufficient and high-quality data, i.e., data is often uncertain and insufficient. To resolve this problem, this study proposes

Hot waves happened more often in summer due to the global climate change, which leads to hot indoor environment when air conditioning systems are absent. To improve individual thermal comfort in warm/hot indoor environment, a ventilating vest with thermoelectric cooling (TEC) was proposed. The design of TEC module and ventilating vest was introduced. The measured cooling capacity of cooling vest was

In structural design, accurately extracting information from floor plan drawings of buildings is essential for building 3D models and facilitating design automation. However, deep learning models often face challenges due to their dependence on large labeled datasets, which are labor and time‐intensive to generate. And floor plan drawings often present challenges, such as overlapping elements and similar

Deviation of pressure differential from design under static conditions and delayed convergency of pressure fluctuation after dynamic disturbances are widely reported problems associated with pressure differential control in non-isobaric buildings. This study performed field measurements to investigate the pressure differential mechanisms under static and dynamic disturbance in several non-isobaric

3D laser scanning can serve the geometric deformation detection of steel structures. However, the process of handling large-scale point clouds remains labor-intensive and time-consuming. This paper presents an automated approach to extracting the precise axes from point clouds and updating the associated BIM model for steel structures. The strategy involves the initial geometry extraction from IFC

While Generative Pre-Trained Transformers (GPT)-based models offer high potential for context-specific information generation, inaccurate numerical responses, a lack of detailed information, and hallucination problems remain as the main challenges for their use in assisting safety engineering and management tasks. To address the challenges, this paper systematically evaluates the effectiveness of the

Construction robots are challenging the paradigm of labor‐intensive construction tasks. Imitation learning (IL) offers a promising approach, enabling robots to mimic expert actions. However, obtaining high‐quality expert demonstrations is a major bottleneck in this process as teleoperated robot motions may not align with optimal kinematic behavior. In this paper, two innovations have been proposed

In the realm of using acoustic methods for locating leakages in water supply pipelines, existing research predominantly focuses on single leak localization, with limited exploration into the challenges posed by multiple leak scenarios. To address this gap, a genetic algorithm‐optimized frequency‐domain convolutional blind source separation algorithm is proposed for the precise localization of multiple

Accurate knowledge of underground utility networks’ placement facilitates various tasks, such as urban development. The most accurate data can be acquired via geodetic surveys using total stations during construction while the trench has yet to be backfilled. However, the period between networks’ instalment and trench backfilling is often short, meaning that surveyors may arrive at construction sites

Coral sand, as a geological material for foundation filling, is widely used for reclamation projects in coral reef areas. The coral sand is characterized by a wide grain size distribution. A series of centrifuge shaking table tests were conducted to explore the seismic response of a shallow buried underground structure in saturated coral sand and coral gravelly sand. The emphasis was placed on comparing

A review concerning the development and performance of water-based fixed fire fighting systems (WFFFS) in road tunnels is presented. Conventional WFFFS types, including automatic sprinkler system, deluge system, and water mist system, have gained recognition as valuable supplements to ventilation systems in combating tunnel fires. Full-scale projects through international collaborations have been instrumental

The effectiveness of pressed-in ventilation system significantly affects the environmental condition inside the tunnel after blasting. Previous studies rarely focus on the ventilation scenario with two fans installed in series at a certain interval on the leaky ventilation ducting, which is very common for super long tunnel. The concept of the combined fan is introduced to consider the equivalent pressure

Estimating the resilience of civil infrastructures is crucial for disaster prevention (i.e. earthquakes), encompassing both above- and underground constructions. However, while below-ground infrastructures are generally acknowledged as less vulnerable than their over-ground counterparts, this aspect has not yet garnered widespread attention. Thus, noting the limited number of seismic response comparisons

The integrity of the excavation tunnel point cloud depends on the effectiveness of registering laser scans at each station. However, the complex surface structure of the excavation tunnels, characterized by a lack of significant features, poses registration challenges. To address these obstacles, we introduce a classification mechanism to the neighbor reweighted local centroid (NRLC) algorithm, resulting

Towards the dual goals of energy conservation and outdoor thermal comfort, this study proposed a parametric-oriented optimization design technology for densely-built residential blocks based on the dynamic local energy balance (DLEB) model. The DLEB model was corrected by hourly error formulas based on the field measurement data conducted in Guangzhou, China, which used six local climate zone-derived

Efficient thermal environment control in large public buildings with atria is critical for reducing energy consumption and carbon emissions. This study investigates the indoor thermal environments of two distinct atria in Suining, China, within a Hot Summer and Cold Winter (HSCW) climate zone. A novel methodology combining K-means clustering algorithms and multiple linear regression (CAMLR) was employed

Geosynthetic-Reinforced Pile-Supported Embankments (GRPSE) are effective composite structures to support highway infrastructures on weak soils. Numerous design methods have been developed in practice to facilitate the use of this technology. However, it is well known that as the design methods adopt different theoretical assumptions, the performance indexes given by the design methods vary significantly

In landfills, shear creep of the liner interface occurs after some shear displacements under the influence of a sustained load from waste. In this paper, an apparatus was developed to conduct shear creep tests on interfaces after different initial shear displacements, and experimental investigations were performed on the shear creep behavior of the geotextile and geomembrane interfaces pre/post peak

Internally unstable soils can pose severe conditions to granular and geotextile filters in geotechnical engineering works. Regarding the latter, several researchers have investigated the behaviour of such filters in contact with internally unstable soils and severe clogging and flow rate reductions of soil-geotextile filter systems have been observed in several cases. This paper presents a study on

The assessment of structural safety and a thorough understanding of buildings' structural behavior are critical to enhancing the resilience of the built environment. Cultural Heritage (CH) buildings present unique diagnosis challenges due to their diverse designs and construction techniques, often requiring attention during maintenance or disaster relief efforts. However, collaboration across CH and

The performance of existing structures is often compromised by damage and condition changes, challenging current evaluation methods in accurately assessing their service status. This paper introduces a structural performance evaluation method via digital-physical twin and multi-parameter identification. Key features include: (1) a digital twin framework that integrates non-contact sensing data with

Cable-in-duct installation is one of the most challenging contact-rich interior finishing tasks for construction robots. Such precise robotic cable manipulation skills are expected to be endowed with high adaptability towards unstructured on-site construction activities via Sim2Real transfer. This paper presents a Sim2Real transferable reinforcement learning (RL) policy learning method for multi-stage

The application of machine learning (ML) in the building domain has rapidly evolved due to developments in ML algorithms. Abundant studies have reviewed the use of ML algorithms to address building-domain-related challenges, but some research questions remain unclear: (i) what is the landscape of ML application topics in building domain, (ii) what are the preferences among different ML application

Substantial concrete pouring is common in large-cross-section station tunnels and releases a considerable amount of hydration heat, which negatively affects the quality and reliability of lining structures. Extensive research on the hydration heat of concrete linings in underground tunnels has not yet been conducted. This study investigated the structural temperature and stress caused by hydration

To study the deformation response of tunnel excavation in clayey formations, with a specific focus on the time-dependent behavior of the Solignano tunnel. The investigation employs in-situ experimental tests and numerical simulations, utilizing the viscoelastic-viscoplastic strain-softening (VEVP-SS) constitutive model to accurately represent the stress–strain relationship of clayey flysch geomaterials

A method is presented for estimating deformations due to external lateral loading for full-scale laboratory performance testing of host-internal replacement pipe (IRP) systems. Soil displacements associated with traffic loading and adjacent excavation are described analytically based on prior research. A beam-on-springs finite element (FE) model is developed to represent buried, jointed cast iron (CI)

The Venlo ventilation system is one of the most widely adopted designs for greenhouses, and it is known for its distinctive roof structure that promotes natural airflow. However, despite its widespread use, it is often inadequate in maintaining the desired temperatures during the summer. This increases the risk of heat stress for greenhouse workers, particularly under the high humidity conditions typically

This article presents an experimental study of a Trombe wall made of cellular concrete, associated with different vent configurations. The experiments were conducted in the laboratory using a Trombe wall connected to an adjacent room, under conditions of an intermediate season. The measurements focus on temperature and heat flux measured in various areas of the facility. Five configurations are compared:

In various industrial manufacturing scenarios, maintaining a low humidity environment with a low dew point temperature (DPT) is crucial. Significant energy consumption is incurred during dehumidification processes. The Heat Pump Desiccant Wheel (HPDW) system emerges as an effective solution to regulate indoor temperature and humidity under such conditions. To improve the energy efficiency of HPDW systems

This study presents an experimental analysis of the thermoregulation characteristics of double-glazed windows integrated with phase change material (PCM) packages and black film coatings. The research focuses on varying the PCM area ratios (ARs) within the vertical glazing, specifically 15 %, 30 %, and 45 %, to evaluate their impact on thermal management and thermoregulation. The experimental setup

Net Zero Energy Buildings (NZEB) represent a significant opportunity to reduce building energy consumption and achieve the climate and energy goals that will be necessary in the future. Nevertheless, the effective operation and maintenance (O&M) management of NZEB remains a significant challenge. This is largely due to the inadequate management of the O&M phase and the lack of comprehensive data integration

Construction sites are high-risk environments owing to the dynamic changes and improper placement of temporary facilities, requiring comprehensive safety management and spatial hazard analyses. Existing construction site layout planning (CSLP) studies have limitations in identifying hazardous zones and accommodating the flexibility stakeholders require. This paper introduces a site information model

Computer vision models have shown great potential in pavement distress detection. There is still challenge of low robustness under different scenarios. The model robustness is enhanced with more annotated data. However, this approach is labor-intensive and not a sustainable long-term solution. This paper proposes a semi-supervised instance segmentation method for road distress detection based on deep

Substituting normal concrete with engineered cementitious composites (ECC) is a promising way to address the cracking issue in steel-concrete composite structures. For realizing a synergetic deformation between ECC and steel, headed stud connectors can be incorporated to ensure an effective shear transfer along their interface. To understand the shear transfer mechanism of headed studs in ECC, a comprehensive

Although many studies considered crystalline admixtures (CA) as the self-healing agent, only limited studies investigated the potential effects of aggressive ions on the self-healing performance of marine structures. Furthermore, there is an increasing trend to use SCMs to improve concrete resilience while lowering carbon footprint. This study investigated the effects of CA and sustainable waste wood

The influence of hydration on water transport within cement paste is usually neglected, especially for the simulation. However, in low water-to-cement ratio cement paste cured underwater, hydration with the affected microstructure occurs along with the water transport and should be taken into account. In this study, the water absorption and hydration degree were monitored in cement pastes with ultra-low

Coal gangue is a carbonaceous rock discharged from coal mining and coal washing processes, an industrial solid waste in the coal mining industry. Coal gangue contains complex and diverse components, has low utilization rate and difficulty in compatibility between large-scale and high added value. Long term accumulation pollutes the environment. Safely, efficiently, and resourceful dispose and utilization

The use of conventional concrete as the inner lining in double-layer lining shield tunnels presents challenges, including cracking and poor durability. This study proposes a novel double-layer lining structure with Ultra-High Performance Concrete (UHPC) as the secondary lining. The enhancement mechanism of this structure is analyzed through full-scale experiments and refined numerical simulations.

Seismic events have underscored the significant impact of Rayleigh waves on the seismic resilience of shallow-buried tunnels. Existing analytical models often overlook key factors influencing seismic responses, including shear deformations, the rotational inertia of the tunnel cross-section, soil spring shear interaction, and the coupling of axial and transverse dynamic responses. These issues are

Lighting has more functions than simply illuminating spaces. For humans, light is the main signal that aligns our body’s internal clock, regulating circadian rhythms. This process instructs our bodies to wake up in the morning, become alert during the day, and feel sleepy at night. Disruption of these rhythms can impact neurological and psychiatric health, including cognitive performance. We can utilize

While existing floor tiling robots provide automated tiling for small tiles, robots designed for large and heavy tiles are rare. This paper develops a six-degree-of-freedom Stewart platform-based floor tiling robot for automated tiling of heavy tiles. The key contributions of this paper are: 1) establishing mechanical and kinematic models for a parallel robot to enhance the payload capacity of existing

The adoption of Building Information Modeling (BIM) in construction site layout planning and activity scheduling faces challenges due to the lack of standardized approaches for digitally reproducing and organizing site elements that meet information requirements of diverse regulatory frameworks and stakeholders' use cases. This paper addresses the question of how to streamline the development of BIM

The pavement skid resistance is crucial for ensuring driving safety. However, the reproducibility and comparability of field measurements are constrained by various influencing factors. One solution to these constraints is utilizing laser‐based 3D pavement data, which are notably stable and can be employed to estimate pavement skid resistance indirectly. However, the integration of tire–road friction

Rock quality designation (RQD) plays a crucial role in the design and analysis of rock engineering. The traditional method of measuring RQD relies on manual logging by geologists, which is often labor‐intensive and time‐consuming. Thus, this study presents an autonomous framework for expeditious RQD estimation based on two‐dimensional corebox photographs. The scale‐invariant feature transform (SIFT)

Previous studies have primarily focused on the effects of various supplementary cementitious materials (SCMs) on the mechanical and durability properties of geopolymers under isolated conditions such as elevated temperatures or sulfate exposure. However, the combined effects of fly ash (FA), metakaolin (MK), and recycled aggregates on geopolymers subjected to the simultaneous exposure of high temperatures

In this paper, the shrinkage deformation of C35 and C50 concrete and its equivalent mortar by each factor under the complex coupling environment of low air pressure, large temperature difference, windy drying, and strong ultraviolet radiation is systematically studied by using an independently designed complex environment simulation platform. The effects of each environmental factor on the shrinkage

Textile-reinforced concrete (TRC), an innovative combination of fine-grained concrete and textile, facilitates the construction of thin, lightweight structures. Epoxy resin impregnation of textile is commonly applied to improve the mechanical properties of TRC, but it also increases the occurrence of spalling failure, which is not yet fully understood. This study investigates the effects of textile

To investigate the effect of site specificity on the seismic response of underground structures, two centrifuge shaking table tests under adverse soil site conditions were carried out, considering the case of structures placed in saturated clay sites and saturated sand sites, respectively. Through the comparison of typical test results, the seismic response law of underground structures and soil sites

This paper presents a privacy-preserving Multi-Center Federated Learning (MCFL) framework for district heating demand forecasting with a 24-hour prediction horizon. To evaluate the effectiveness of this framework, we conducted a comparative analysis across three models: a monolithic model, a traditional federated learning (FL) model, and the proposed MCFL model. Our results demonstrate that the MCFL

Traditional construction management methodologies often fail to address unforeseen challenges and uncertainties. This paper highlights that projects can exist in different states, often unidentified by project managers. These varying states necessitate different approaches, indicating that one-size-fits-all methods are insufficient. Using project data, entropy calculations, and simulations within a

Construction cost forecasting is vital for tendering processes, enabling the evaluation of bidding offers to maximize revenues and avoid losses. In recent years, the automation of this forecasting process has gained attention due to the limitations of traditional approaches that rely on human experts, which can lead to subjective judgments. This paper introduces an ensemble learning decision-support

An event‐based supervisory control scheme, in the Ramdage–Wonham framework, will be proposed for the cyber‐physical Waterway Lock system, known as Lock III, in Tilburg, the Netherlands. The proposed control scheme imposes desired behavior, by appropriately disabling controllable events, so as to avoid activation of actuator commands that may lead to undesired and potentially hazardous operating states

Accurate soil stratification is essential for geotechnical engineering design. Owing to its effectiveness and efficiency, the cone penetration test (CPT) has been widely applied for subsurface stratigraphy, which relies heavily on empiricism for correlations to soil type. Recently, deep learning techniques have shown great promise in learning the relationship between CPT data and soil boundaries automatically

Understanding the influence of alkali-resistant superabsorbent polymers (SAPs) on the performance of cementitious materials based on Portland Cement (PC) is crucial for optimizing their applications in construction. This study primarily focuses on the effects of varying SAP content on the multiple properties and hydration process of PC materials. The optimal dosage of alkali-resistant SAP (with an

The layer-by-layer stacking process of 3D Printing Construction Technology (3DPCT) inevitably leads to weak bonding areas between the interlayer interfaces and the interstrip interfaces, which affect the mechanical properties of the printed structure. The effects of different carbonation time of recycled sand on the mechanical properties and interfacial bonding performance of 3D printed cement-based

Cracks in concrete structures are unavoidable and can significantly shorten their lifespan. As infrastructure worldwide continues to age, it is essential to prioritize effective crack healing methods and implement reliable monitoring techniques. In this study, an attempt has been made to develop an in situ, online and nondestructive ultrasonic monitoring tool to capture crack formation and evaluate

Accurate building electricity load prediction is critical for Intelligent buildings operation and control. However, the imbalance in the number of workday and holiday samples in historical data often leads to lower prediction accuracy for holidays. Furthermore, existing research typically evaluates performance using global accuracy, which can obscure deficiencies in holiday-specific predictions. To