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期刊论文 11

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进展 2

一次性技术 1

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钢铁结构材料的高性能化

翁宇庆

《中国工程科学》 2002年第4卷第3期页码 48-53

摘要：

叙述了以细化钢铁结构材料的晶粒尺寸为核心，将现有钢材强度和寿命翻番的基本进展；在保持塑性提高和价格下降的同时，碳素结构钢板带材屈服强度从235 MPa已提高到420～470 MPa，塑性由最大26%提高到29%～34%；建筑螺纹钢由一级提高到三级，碳—锰钢由二级提高到四级，且抗地震性能好；高强抗延迟断裂螺栓钢，已达到世界最高的13.9级。

关键词：钢铁材料基础研究高性能化进展

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西藏昆虫研究进展

王保海,黄复生,李宝海,王翠玲,王成明

《中国工程科学》 1999年第1卷第3期页码 86-92

摘要：

综述了本世纪50年代以来西藏昆虫考察、种类记述、区系演化、垂直分布、适应进化等方面的研究进展。并进一步阐述了对西藏动物区系的一种新意见，认为青藏高原区应成为单独的动物地理区，与古北区、东洋区等动物地区并列。

关键词：昆虫研究进展西藏

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Leveraging individual-level data to advance air pollution health risk management

Jianxun YANG, Wenjing WU, Miaomiao LIU, Jun BI

《工程管理前沿（英文）》 2022年第9卷第2期页码 337-342 doi: 10.1007/s42524-022-0189-1

摘要：

Environmental health risk management is a systematic engineering task, engaging multiple disciplines from the academic and government sectors. Reducing environmental health risks has become one of the key targets in the United Nations Sustainable Development Goals (SDGs). This target has been translated into public policies at many jurisdictional levels (Yue et al., 2020). To design region-specific and targeted policy initiatives, understanding how environmental health risks are spatially distributed and temporally resolved is fundamental.

Along with the advances in high-resolution pollution mapping and projection, environmental risk assessment and management have been performed at a highly granular scale (Caplin et al., 2019). For instance, taking advantage of the fine air pollution dataset, recent research efforts have evaluated the health burdens of historical air pollution exposure or cost-benefits of pollution control policies at finer-scale administrative units and grids (Liu et al., 2017; Ou et al., 2020). These assessments reveal expensive health costs of air pollution exposure and highlight that the health outcomes of air pollution are unevenly distributed across regions and more evident among vulnerable populations (Colmer et al., 2020).

Even though detailed geospatial mappings of air pollution capture local patterns, they do not necessarily represent individual-level unique exposure experiences and health outcomes. Personal exposure to air pollution can be influenced by a range of behavioral factors such as mobility patterns and self-protective actions (Tainio et al., 2021). Individual cofactors such as risk perceptions of air pollutants, baseline health conditions, and socio–economic status also influence the pollution-related health impacts (Piel et al., 2020). Dramatic variations in health risks, therefore, occur even within small spatial units such as blocks and neighborhoods. Thus, individual-level exposure and health assessment are critical in advancing the engineering management of air pollution at granular spatiotemporal scales and informing targeted local policies for reducing pollution-related health risks.

To perform air pollution health risk assessment and management at the individual level, first, gathering datasets relevant to personal exposure experiences and health outcomes is important. For example, portable sensor technology is widely applied, in which participants carry the sensors to measure their real-time locations and micro-environmental exposure (Su et al., 2017). These monitors can illustrate individual time–activity patterns and assess personal-specific pollution exposure during outdoor activities such as daily commuting and exercises (Dons et al., 2017). These activities finally form direct flows of datasets on human behaviors and are made available to researchers for more nuanced characterizations of environmental risk.

In this comment, we summarize different types of individual-level data and outline pathways through which the data may advance air pollution health risks assessment. We then review representative studies revolving around these aspects and showcase how abundant information at the individual level improves environmental health risk management. We finally detail the challenges and uncertainties in this rapidly growing field and highlight the priorities in future research. The aim is to motivate local policy actions and foster collective research efforts to promote public health.

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Realtime prediction of hard rock TBM advance rate using temporal convolutional network (TCN) with tunnel

Zaobao LIU; Yongchen WANG; Long LI; Xingli FANG; Junze WANG

《结构与土木工程前沿（英文）》 2022年第16卷第4期页码 401-413 doi: 10.1007/s11709-022-0823-3

摘要： Real-time dynamic adjustment of the tunnel bore machine (TBM) advance rate according to the rock-machine interaction parameters is of great significance to the adaptability of TBM and its efficiency in construction. This paper proposes a real-time predictive model of TBM advance rate using the temporal convolutional network (TCN), based on TBM construction big data. The prediction model was built using an experimental database, containing 235 data sets, established from the construction data from the Jilin Water-Diversion Tunnel Project in China. The TBM operating parameters, including total thrust, cutterhead rotation, cutterhead torque and penetration rate, are selected as the input parameters of the model. The TCN model is found outperforming the recurrent neural network (RNN) and long short-term memory (LSTM) model in predicting the TBM advance rate with much smaller values of mean absolute percentage error than the latter two. The penetration rate and cutterhead torque of the current moment have significant influence on the TBM advance rate of the next moment. On the contrary, the influence of the cutterhead rotation and total thrust is moderate. The work provides a new concept of real-time prediction of the TBM performance for highly efficient tunnel construction.

关键词： hard rock tunnel tunnel bore machine advance rate prediction temporal convolutional networks soft computing construction big data

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中国眼科现状

谢立信

《中国工程科学》 2003年第5卷第1期页码 1-5

摘要：

改革开放以来，我国眼科资源取得较快增长。随着人们生活水平的提高，白内障、角膜病、沙眼、青光眼、眼底病、屈光不正等主要眼病的患病率也有较大变化。文章根据最新资料，从眼科临床和基础研究两个方面介绍了我国白内障、角膜病、屈光不正、眼底病、青光眼五种主要致盲眼病的现状。在部分城市医院已拥有国际上最先进的检查治疗设备和国际一流水平的优秀专家，但平均水平和发达国家尚有较大差距，主要设备完全依靠进口。在眼科基础研究方面，一些重要研究领域未取得突出的创新成果和重大建树，总体优势还未形成，需要在政策导向和政府投入等方面加大力度。

关键词：眼科研究进展

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Implementation and performance evaluation of advance metering infrastructure for Borneo-Wide Power Grid

Mujahid TABASSUM,Manas K. HALDAR,Duaa Fatima S. KHAN

《能源前沿（英文）》 2020年第14卷第1期页码 192-211 doi: 10.1007/s11708-016-0438-2

摘要： In this paper, a supervisory computer network for Borneo-Wide Power Grid system have been proposed and implemented, which includes a renewable power generation and advanced metering infrastructure. An Internet-based communication network running on multiprotocol label switching (MPLS) has been implemented for a smart power grid, with the addition of the renewable energy monitoring system. The centralized supervisory control and data acquisition systems (SCADA) are replaced by a wide area monitoring system(WAMS) comprising of a phasor measurement unit (PMU). The implemented communication network used advanced metering infrastructure that operates on worldwide interoperability for microwave access (WiMAX), wireless fidelity (Wi-Fi) and low power Wi-Fi, which are proposed for the distribution systems of Sarawak Energy. The proposed wide area network (WAN) is simulated using OPNET Modeler and the results are compared with the existing WAN used by Sarawak Energy.

关键词： renewable energy multiprotocol label switching (MPLS) power grid phasor measurement unit (PMU) supervisory control and data acquisition systems (SCADA) wide area monitoring system (WAMS) worldwide interoperability for microwave access (WiMAX) synchronous digital hierarchy (SDH)

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Combustion and emissions of the diesel engine using bio-diesel fuel

YUAN Yinnan, MEI Deqing, WANG Zhong, ZHANG Tian

《机械工程前沿（英文）》 2008年第3卷第2期页码 189-192 doi: 10.1007/s11465-008-0021-6

摘要： The combustion and heat release of engines using diesel fuel and bio-diesel fuel have been investigated. The results illustrate that the combustion happens in advance and the ignition delay period is shortened. The initial heat release peak declines a little, the corresponding crankshaft angle changes in advance, and the combustion duration is prolonged. The economic performance and emission features of diesel engines using diesel fuel and bio-diesel fuel are compared. The results also show that the specific fuel consumption of bio-diesel increases by about 12% .The emissions, such as CO, HC, and particulate matter decrease remarkably whereas NO increases a little.

关键词： advance combustion consumption economic performance combustion duration

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催化裂化过程反应化学的进展

许友好,汪燮卿

《中国工程科学》 2007年第9卷第8期页码 6-14

摘要：

面对催化裂化工艺所遇到的挑战，提出了催化裂化过程反应化学的多维反应结构模式。多维反应结构模式的建立是基于对烃类在酸性催化剂上反应化学认识而进行的知识创新，但多维反应结构不同于烃类在酸性催化剂上反应化学。具有多维反应结构的催化裂化工艺更具有多样性和灵活性，基于此已成功地开发了多产异构烷烃的催化裂化工艺和生产清洁汽油和多产丙烯的催化裂化工艺。

关键词：催化裂化反应化学催化剂多维反应结构两个反应区

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离子液体在金属离子萃取中的研究进展

刘利梅,苏永庆,李琮,贺飞,何永福,钟云

《中国工程科学》 2007年第9卷第11期页码 187-190

摘要：

介绍了离子液体的定义，发展历史，性质等，重点阐述用于金属离子萃取的离子液体的性质、合成方法和发展方向。

关键词：离子液体萃取金属离子绿色溶剂

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新一代生物工艺研发与制造技术及高通量微小型生物反应器

焦鹏,陈必强

《中国工程科学》 2016年第18卷第4期页码 44-50 doi: 10.15302/J-SSCAE-2016.04.007

摘要：

近些年，人们认识到快速反应时间对应对烈性传染病具有至关重要的作用，然而传统工艺和技术无法有效应对。以美国卫生部为代表的机构提出并开始践行新一代工艺研发与生物制造的技术平台，其目的是要极大缩短生物工艺研发和生产的周期，从而快速应对。精准医学的发展对医药研发与生产也提出了产品研发制备周期短、种类增加、数量减少的新要求，需要新一代的研发与生产技术。实现快速研发的核心设备是微小型生物反应器，新一代技术核心包括高通量筛选、高通量工艺研发，一次性技术，模块化及柔性化生产。新一代工艺研发与生物制造技术不仅关系到国家安全、人民生命健康，其作用及影响将辐射到整个生物加工制造领域，社会与经济价值巨大。

关键词：新一代生物工艺研发与生物制造技术烈性传染病精准医学微小型生物反应器高通量技术一次性技术

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物探装备技术进展与发展方向

王铁军,郝会民,李国旗,罗福龙,陶知非,陈联青,侯金海

《中国工程科学》 2010年第12卷第5期页码 78-83

摘要：

中国石油工业的掘起与腾飞，使物探装备技术得到了快速发展。地震勘探仪器经历了6次升级换代，契而不舍地追踪国外先进技术，保持了与时俱进、同步发展的局面；可控震源技术走“引进、吸收、消化、创新”的道路，经过20多年的艰辛研发，达到领先或局部领先国际的技术水平；地震辅助装备坚持“自力更生、自主开发”方针，经历30多年探索与创新，使国产设备闪亮挤身于国际勘探市场。自主开发的辅助装备，也取得了长足的进步。

关键词：中国石油地球物理勘探装备地震仪器可控震源运载设备物探钻机