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朱

朱嵘华 (Ronghua Zhu)

浙江大学

H指数:10

被引数:407

个人简介

"朱嵘华浙江大学海洋学院教授，国家海外高层次人才，获国务院政府特殊津贴，入选国家百千万人才工程。主要研究方向为海上风电工程技术与高端装备。主要科技奖项：（1）近海风电岩土工程灾变机理、防控技术与工程应用，浙江省科学技术进步奖一等奖（排名4，2021）（2）海上风电场建造核心装备关键制造技术与工程应用，教育部科学技术进步奖一等奖（排名5, 2022）（3）海上风电嵌岩基础安装成套技术及装备，中国安装协会科技进步二等奖（排名1， 2023）（4）海上风电嵌岩基础成套技术及关键装备，广东省机械工程学会科学技术奖一等奖（排名1,2023）、广东省机械工业科学技术奖一等奖（排名1,2023）"

教育背景

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工作经历

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荣誉奖项

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A novel large deformation reconstruction method of offshore wind towers using sparse strain measurements

基于稀疏应变测量的海上风电塔大变形重构新方法

Ocean Engineering

IF5.5

2026-07-010

PRE

Simultaneous fatigue damage analysis for the support structure and blades of an offshore wind turbine by an efficient integrated method

通过高效集成方法对海上风力涡轮机支撑结构和叶片的同时疲劳损伤分析

Ocean Engineering

IF5.5

2026-06-011

PRE

Spatiotemporal evolution and flow mechanisms of local scour around a monopile-supported tidal stream turbine

单桩支撑潮流涡轮机周围局部冲刷的空间-时间演化及流动机制

Ocean Engineering

IF5.5

2026-05-010

PRE

Experimental and theoretical investigation of compression behavior of impact-damaged circular steel tubes strengthened with grouting materials

冲击损伤圆形钢筒经注浆材料加固后的压缩行为实验与理论研究

Engineering Structures

IF6.4

2026-04-180

PRE

Fractional-order stochastic resonance-based rescaling-frequency scanning images for early multi-frequency fault detection of machines

基于分数阶随机共振的重缩放频率扫描图像，用于机器的早期多频故障检测

Mechanical Systems and Signal Processing

IF8.9

2026-02-050

PRE

Failure mode and effect analysis for floating offshore wind turbines using subjective and objective data

基于主观和客观数据的浮式海上风电机组故障模式与影响分析

Ocean Engineering

IF5.5

2025-12-030

PRE

Analysis of the bearing capacity of pile-bucket composite jacket foundations

桩-桶复合 jackets 基础承载力分析

SHIPS AND OFFSHORE STRUCTURES

IF1.8

2025-12-010

PRE

Hydrodynamic Performance and Motion Response of a Novel Deep-Water TLP Floating Offshore Wind Turbine

新型深水张力腿平台浮式海上风力涡轮机的流体动力学性能与运动响应

Journal of Marine Science and Engineering 2025, Vol. 13, Page 2131

IF2.8

2025-11-180

OAAI

Positive-incentive noise in artificial intelligence-enabled machine fault diagnosis

杨, C.; Qiao, Z.; Liu, L.; Kumar, A.; Zhu, R. 人工智能赋能的机器故障诊断中的正向激励噪声. Struct. Health Monit. 2025. [Google Scholar] [CrossRef]

Structural Health Monitoring

IF0

2025-09-170

PRE

Stochastic resonance array for designing noise-boosted filter banks to enhance weak multi-harmonic fault characteristics of machinery

APPLIED ACOUSTICS

IF3.6

2025-04-010

PRE

A novel hierarchical failure analysis approach targeting the operation and maintenance of floating offshore wind turbines

一种针对浮式海上风电机组运营与维护的新型分层失效分析方法

RENEWABLE ENERGY

IF9.1

2025-03-010

PRE

Weak signal enhancement and extraction based on hybrid resonant sparse decomposition and tri-stable stochastic resonance method

MECHANICAL SYSTEMS AND SIGNAL PROCESSING

IF8.9

2025-02-010

PRE

Synchronous and asynchronous vibration suppression and energy harvesting techniques: Principles, methods and applications

ENGINEERING STRUCTURES

IF6.4

2024-12-012

PRE

A Family of Health Indicators Induced by EOF for Condition Monitoring of Machinery

IEEE SENSORS JOURNAL

IF4.5

2024-04-016

PRE

Antarctic Snow Failure Mechanics: Analysis, Simulations, and Applications

IF3.2

2024-03-252

OAAI

Parametric study and multi-parameter optimization of a generalized second-order tri-stable stochastic resonance system

NONLINEAR DYNAMICS

IF6

2024-01-053

PRE

Stochastic resonance induced weak signal enhancement in a second-order tri-stable system with single-parameter adjusting

APPLIED ACOUSTICS

IF3.6

2024-01-018

PRE

High-Performance Adaptive Weak Fault Diagnosis Based on the Global Parameter Optimization Model of a Cascaded Stochastic Resonance System

IF3.5

2023-04-305

OAAI

A Study on Local Scour of Large-Diameter Monopile under Combined Waves and Current

波流联合作用下大直径单桩局部冲刷的研究

IF3.3

2023-03-250

OA

An Intelligent Fault Diagnosis Method Enhanced by Noise Injection for Machinery

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

IF5.9

2023-01-0132

PRE