Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
Modeling and Similitude01:12

Modeling and Similitude

Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
Typical Model Studies01:30

Typical Model Studies

Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Regulation of microtubule dynamics by DIAPH3 influences amoeboid tumor cell mechanics and sensitivity to taxanes.

Scientific reports·2015
Same author

Aberrant Functional Connectivity Architecture in Alzheimer's Disease and Mild Cognitive Impairment: A Whole-Brain, Data-Driven Analysis.

BioMed research international·2015
Same author

Alternative NF-κB Isoforms in the Drosophila Neuromuscular Junction and Brain.

PloS one·2015
Same author

Grape seed proanthocyanidin protects liver against ischemia/reperfusion injury by attenuating endoplasmic reticulum stress.

World journal of gastroenterology·2015
Same author

Serum Levels of Progranulin Are Closely Associated with Microvascular Complication in Type 2 Diabetes.

Disease markers·2015
Same author

Repression of microRNA biogenesis by silencing of OsDCL1 activates the basal resistance to Magnaporthe oryzae in rice.

Plant science : an international journal of experimental plant biology·2015

Related Experiment Videos

WDS-Modality: A Physics-Informed Multi-Modal Agent Framework for Resilient Water Distribution System Assessment Using

Tianwei Mu1, Yue Wang2, Manhong Huang3

  • 1School of Municipal Engineering and Environment, Shenyang Jianzhu University, Shenyang, 110168, China; Guangzhou Institute of Industrial Intelligence, Guangzhou, 511458, China.

Water Research
|July 14, 2026
PubMed
Summary

This study introduces WDS-Modality (WDSM), a novel framework integrating large language models (LLMs) with hydraulic simulations for water distribution system (WDS) resilience assessment. WDSM provides physically consistent and interpretable analysis, improving operational decision-making.

Keywords:
Multi-agent systemMulti-objective evolutionary algorithmPhysics-Informed modelWater Distribution SystemsZero fine-tuning

Related Experiment Videos

Area of Science:

  • Hydraulic Engineering
  • Artificial Intelligence
  • Network Science

Background:

  • Water Distribution System (WDS) resilience assessment is complex, requiring specialized knowledge and simulations.
  • Current data-driven models lack physical consistency, and large language models (LLMs) struggle with hydraulic and topological data.

Purpose of the Study:

  • To develop a physics-informed multi-agent framework (WDS-Modality, WDSM) that integrates LLM reasoning with hydraulic simulation.
  • To enable accessible, reliable, and physically grounded WDS resilience analysis for operational decision-making.

Main Methods:

  • Developed WDSM, a framework featuring topology-aware knowledge representation, physics-informed verification, and multi-objective optimization.
  • Integrated LLM reasoning with hydraulic simulation without fine-tuning.
  • Evaluated WDSM on district metered area (DMA) partitioning and boundary valve optimization tasks.

Main Results:

  • WDSM adaptively identified DMAs and optimized boundary valves across five benchmark networks.
  • Optimized configurations reduced flow entropy and demonstrated physically feasible trade-offs in reliability and resilience.
  • Achieved an 85.71% overall diagnostic success rate with zero physics violations.

Conclusions:

  • Coupling language-based reasoning with physics-based simulation offers a reliable and interpretable approach for WDS analysis.
  • WDSM enhances WDS resilience assessment, making it more accessible for operational decisions.
  • The framework ensures physical consistency and grounds analysis in real-world constraints.