Articles tagged with Civil Engineering
A team of ETH Zurich researchers developed a process to convert sawdust into a recyclable and environmentally friendly composite using struvite. The material exhibits excellent fire resistance due to the mineral's non-combustible properties and cooling effect, making it suitable for internal fittings.
University of Warwick engineers led an international committee to update Eurocode 4, a standard for composite steel and concrete structures used in buildings and bridges. The updated standard introduces new guidance for modern construction techniques and advances the design of shear connections.
The new framework groups stations with similar hydrological behavior, reducing computational cost while maintaining high predictive accuracy. This approach enables scalable, data-efficient AI systems for water level forecasting, supporting flood early-warning systems, optimized reservoir and irrigation management, and improved decision...
Researchers transformed waste into high-performance porous carbon materials for soil and water conservation. The study identified top-performing materials from agricultural wastes, which exhibited high surface areas and favorable pore structures, enhancing adsorption capacity and water retention.
Kalinin's work is reshaping how new materials are designed, tested, and studied, enabling researchers to predict promising new materials computationally. He has developed machine learning-driven systems that can synthesize and characterize new materials at unprecedented speed.
Researchers found that the river recovered its natural shape within four years after mining stopped, but the local economy did not bounce back. The study recommends a fairer, more sustainable model for river sediment extraction to minimize environmental and human impacts.
Wavelogix, a concrete sensor manufacturer, has received a $500,000 grant from the National Science Foundation to refine and scale its Rebel concrete strength sensing system. The system enables faster, data-driven decisions through real-time concrete strength monitoring.
Researchers have developed a new framework to detect possible damage in concealed cold-formed steel construction framing materials, utilizing ground-penetrating radar and artificial intelligence. The technology allows for rapid detection of damage, enabling inspectors to verify only flagged spots without removing walls or cladding.
Engineers at Purdue University have developed a patent-pending method to estimate the location, orientation, and radius of underground utility pipes using ground-penetrating radar. This innovation could help prevent hazardous strikes during construction projects, reducing financial losses and service disruptions.
University of Pittsburgh engineers develop predictive models for longitudinal cracking on concrete pavements to improve road performance and reduce repairs. The project aims to create a nationwide infrastructure solution by pinpointing root causes and developing mechanistic-empirical models.
A new study proposes a framework for connecting AI risk prediction systems with scheduling platforms to detect emerging risks and adjust project plans before delays occur. This approach aims to close the gap between early warning and actionable response, enabling more resilient project delivery.
A team from UCO develops a 100% recycled paving block made from mollusk shells and mining waste, replacing natural aggregates and conventional cement. The block meets mechanical, durability, and safety criteria without using single natural material, contributing to circular economy and decarbonization in the construction sector.
A new research project, (not)NOISY, aims to predict cumulative underwater noise produced by tidal turbine arrays before they are built. The team will develop advanced models and AI-assisted tools to quantify how noise travels through marine environments, supporting informed decision-making.
Researchers developed a new method to predict extreme rainfall in Japan, using Integrated Nested Laplace Approximation - Stochastic Partial Differential Equation (INLA-SPDE), which outperformed traditional kriging methods. The study used hourly precipitation data from 752 meteorological stations across four main islands of Japan and fo...
As climates become more extreme, traditional building designs are failing to keep people safe and comfortable. A new generation of architects is creating climate-ready buildings that can maintain comfortable temperatures independently from the grid, using local natural resources like sun, wind, and ground-sourced energy.
Researchers explore how METs convert organic waste into electricity, fuels, fertilizers, and usable water. Pilot deployments demonstrate its potential to reclaim energy from 359 billion cubic meters of wastewater annually.
Emerging microbially-powered technologies can convert up to 35% of wastewater's chemical energy into electricity and extract valuable nutrients. This approach could power agriculture, global sanitation and its own treatment, while reducing pollution and overcoming regulatory obstacles.
Researchers developed a winged composite pile foundation system to enhance wind resistance and utilize surplus excavated soil. The study found that larger expanded base wing diameters significantly increased uplift resistance, while soil density and surface characteristics of the steel components also played crucial roles.
The University of East London and STRABAG UK have developed a pioneering low-carbon grout that replaces traditional cement-heavy annulus grout, reducing embodied carbon by over 61%. The innovation uses repurposed construction waste and agricultural by-products to create a sustainable alternative.
A long-term field experiment shows that combining biochar with compost and sludge can improve how sandy soils retain water, reducing cumulative drainage by over 40%. The triple combination of biochar, sludge, and compost formed a more stable soil structure that retained water more effectively than any single amendment alone.
The substance-energy network is a strategic concept for China's energy system transformation, integrating power grids and pipeline networks for flexible and resilient energy systems. It provides solutions for large-scale renewable energy consumption and high-reliability energy security.
Drexel researchers create machine learning program that integrates qualitative and quantitative data to identify gentrification in Philadelphia neighborhoods. The program, trained with data from thousands of images and focus groups, accurately identifies new-build gentrification with 84% accuracy.
Researchers at Graz University of Technology developed a new, more robust insulated joint system to reduce failures and damage on heavily used rail lines. The prototype is expected to double the service life of previous joints and cause lower stresses in the material.
Dr. Barron Bichon has been promoted to vice president of SwRI's Mechanical Engineering Division, overseeing a team of over 400 staff members. He will lead the division in advancing additive manufacturing and composite material bonding for defense and aerospace applications.
Eduardo Miranda, a Stanford University professor, has been recognized for his pioneering work in developing new ground motion models and intensity measures. His research has significantly shaped seismic design provisions and emphasized the use of strong-motion data in both research and teaching.
Researchers have developed a new system to visualize hidden defects in aging concrete infrastructure in 3D. This technology uses advanced ultrasonic phased array systems to create detailed cross-sectional images, enabling structural engineers to identify hazardous regions and improve maintenance efficiency.
The study reveals that rubber-modified ECC displays notable tensile ductility within the sub-high temperature range of 70–100°C, with the highest ultimate tensile strain observed at 100°C. Microstructural analyses attribute this enhancement to moderate matrix degradation, fiber softening, and improved fiber pull-out behavior.
Researchers at the University of Plymouth have discovered a method to increase muon lifetime using intense laser pulses. By applying quantum interference principles, they aim to develop new scientific facilities that utilize muons instead of electrons.
A new approach combining Principal Component Analysis (PCA) and Discrete Wavelet Transform (DWT) enables accurate damage localization even with a limited number of sensors. The method reduces costs while improving detection accuracy, supporting broader implementation in real-world bridge health monitoring.
A team of researchers from Chonnam National University has developed a novel superpixel-based virtual sensor framework for full-field vibration measurement. The approach offers robust and accurate motion estimation without the need for physical markers or contact sensors, making it suitable for large-scale infrastructure monitoring.
A new study uses digital building models to calculate carbon emissions from material production, transportation, operation, and demolition. The approach demonstrates how targeted reduction strategies can be identified before construction begins, highlighting the importance of local material sourcing and clean heating technologies.
A newly designed mechanophore, called DAANAC, was developed to provide early warning against mechanical failure while resisting heat and UV. It features a stable and fluorescent diarylacetonitrile radical coupled to an alkoxycarbonyl radical that quenches fluorescence.
A new study finds that environmental regulations in the US reduce medical costs and financial losses by up to five times more than the costs associated with implementing these rules. The EPA's operating budget is tiny compared to federal spending, yet it helps protect the environment and save lives.
A new study uses radar technology to reveal crumbling dams across the US, threatening socially vulnerable communities. The research aims to create a country-wide database of unsafe dams, their flood risks, and impacted communities.
Researchers developed an AI-driven framework using XGBoost to evaluate asphalt pavement skid resistance under various conditions, achieving over 90% prediction accuracy. The model identified fractal dimension as the core predictive factor, highlighting the role of texture complexity in skid resistance.
The international journal aims to leverage cutting-edge research findings to promote civil engineering's intelligent transformation. Key priorities include serving as an innovation hub, building an intellectual support base for strategic underpinning, and establishing a cross-disciplinary convergence platform.
MIT researchers analyzed a recently discovered Pompeii construction site to shed new light on ancient Roman concrete, which has endured for thousands of years. They found that hot-mixing was indeed used by the Romans, contradicting ancient texts and providing valuable insights into a material with self-healing properties.
Researchers developed a three-stage framework to analyze uncertainties in energy transitions, focusing on climate change and institutional inefficiency. The Puerto Rico case study shows that these factors are crucial in determining total system costs.
Researchers will develop strategies to stabilize eroding channels and enhance flood-warning capabilities using artificial intelligence. The partnership aims to improve stormwater management and environmental protection in the region with forecasts suggesting population growth could double by 2050.
A new study assesses various wall and floor types for their climate impact and acoustic performance, finding that timber outperforms standard steel studs in terms of climate friendliness. The research also highlights the importance of considering both acoustic comfort and environmental sustainability when designing buildings.
Researchers at University of East London found that discarded seashells can be transformed into a low-carbon concrete ingredient, reducing carbon emissions by up to 36%. The study suggests a promising opportunity for industry to adopt sustainable cement alternatives.
Researchers develop a novel integrated data model that merges construction and geospatial information standards to manage bridges' 3D geometry data and maintenance records. This framework enables accurate damage location assessment, repair prioritization, and predictive maintenance, leading to improved infrastructure safety and longevity.
Researchers propose technology using multimodal information from LiDAR, GPS, IMU, and thermal camera to reconstruct transmission line geometric profile and estimate sag. The approach can predict how the shape of the TL would change under extreme thermal conditions.
A University of Houston scientist teams with international partners to map Antarctica's glaciers, revealing tidal movements and retreat rates up to 700 meters per year. The dataset provides the most detailed view yet of how glaciers interact with the ocean, enabling better understanding and modeling of sea-level rise.
Bahaa Eltahawy's dissertation highlights the importance of integrated cybersecurity strategies for protecting critical infrastructure. The study reveals that current standards have limitations and proposes a model that expands protection into seven domains.
Researchers at ETH Zurich developed an immersive digital co-pilot to support conservators in restoring historic buildings. The tool uses spatial computing technologies and augmented reality to provide structural analysis insights, enhancing decision-making and disseminating heritage knowledge.
Researchers propose a novel approach to ensure uniform backfilling throughout borehole depth, addressing immediate safety concerns and long-term sustainability. The circulating mixing method improves process parameters and quality control through advanced numerical simulations.
Shared houses in Tokyo are marketed as lifestyle-driven homes focusing on comfort, connection, and personal growth. The study reveals that properties near train stations emphasize accessibility and neighborhood convenience, while those farther away highlight natural surroundings and social interaction.
Researchers explore using municipal solid waste as a low-emission, cost-effective feedstock for sustainable aviation fuel, reducing greenhouse gas emissions by 80-90%. The study suggests that adopting municipal solid waste-based jet fuels could save airlines money under carbon pricing systems.
The GBCESC 2025 conference aims to exchange technical knowledge and innovative solutions in green building, civil engineering, and smart city fields. Accepted papers will be published in the conference proceedings.
Pedro J.J. Alvarez has been awarded the 2026 Benjamin Franklin Medal in Civil Engineering for his groundbreaking research on water quality engineering. His work spans nanotechnology, microbiology, chemistry, and hydrogeology to make water cleaner, safer, and more sustainable.
Researchers from Chung-Ang University have developed a novel AI-based approach for producing high-fidelity and defect-aware ultrasonic images, outperforming traditional techniques. This technology has the potential to revolutionize non-destructive testing in industries such as semiconductors, energy, and automotive.
A PhD student at Lehigh University is working with Siemens to develop real-time monitoring and control tools for hyperscale data centers. The goal is to create a localized power network that can operate independently of the main grid, reducing power demands from artificial intelligence and increasing energy efficiency.
The 2nd International Conference on Civil Engineering and Smart Construction (ICCESC 2025) aims to bridge academic accomplishments with industrial progress. The conference covers various areas of interest including civil engineering, smart construction, and intelligent technologies.
The research partnership aims to develop stronger aluminum alloys for high-performance applications. Three projects focus on reducing iron impurities through electrical or chemical approaches.
Researchers warn of structural weakening in urban areas as a result of groundwater overexploitation, posing risks to millions of people. Satellite radar data reveals nearly 1.9 million people exposed to subsidence rates greater than 4 millimeters per year.
A team of Pitt engineers has created self-powered spinal implant technology capable of transmitting real-time data from inside the body. The innovation utilizes new human-developed composites known as metamaterials to harvest energy and transmit signals wirelessly.
Researchers developed a novel framework to capture dynamic nature of social networks, finding that scattered seeds of connections only grow when nourished, while policy restrictions can cut network growth by almost one-third.
Researchers at CU Boulder developed a framework for creating trustworthy AI tools that benefit people and society. Key findings include the importance of understanding individual trust inclinations, considering user demographics and cultural norms, and prioritizing transparency and technical reliability.
Researchers propose using the Agent Deed Consequence (ADC) model to program ethical values into smart city technologies. The model captures human moral judgments by considering agent intent, deed, and consequence, enabling AI systems to distinguish between legitimate and illegitimate orders.