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Condition indices for rigid pavements: A comparative analysis of state DOTs using Michigan PMS data

Journal of Road Engineering 2024年第3期4卷 348-360页

作者： Rahul Raj Singh Mumtahin Hasnat muhammed emin kutay Syed Waqar Haider James Bryce Bora Cetin Department of Civil and Environmental Engineering Michigan State UniversityEast LansingMI 48824USA Wadsworth Department of Civil and Environmental Engineering West Virginia UniversityMorgantownWV 26506USA

Pavement infrastructure is vital in providing services and links between various sectors of society. Therefore, thepreservation and maintenance of these roads are critical to attaining a pavement network in good conditionthroughout its service life. Various performance indicators like the international roughness index (IRI), pavementcondition index (PCI), and present serviceability rating (PSR) have been used by the state department of transportation (DOT) and highway agencies for evaluating pavement surface conditions and planning future maintenance strategies. Limited data availability, multiple distresses depending on region, lack of correlation of thesecondition indices to maintenance strategies, and data collection limitations pose a challenge for applying theseindices to local conditions. This paper compares condition indices of different states for rigid pavements. Further,using a specific condition index for local conditions is also highlighted. For this purpose, five states and theircorresponding condition indices were evaluated and compared to the Michigan DOT distress index (DI). Thesestates include Virginia, Minnesota, North Dakota, Louisiana, and Oregon. The corresponding distresses of eachcondition index were converted to make them compatible with the MDOT DI. This study used the MDOT'spavement management system (PMS) database to evaluate each condition index for 433 rigid pavement *** distress index was plotted against MDOT DI and compared using a paired t-test. Results show that thecondition indices of Virginia and Minnesota are comparable to DI in terms of the Spearman correlation value. Thet-test results show that except for Virgina, condition indices from other states statistically differ from ***, one can't use those directly for local conditions in Michigan. This paper presents the evaluation anddata requirements for each condition index and its impact on selecting a maintenance treatment.

关键词： Rigid pavement Pavement management Condition index Distress index

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Condition indices for rigid pavements: A comparative analysis of state DOTs using Michigan PMS data

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Journal of Road Engineering 2024年第3期 348-360页

作者： Rahul Raj Singh Mumtahin Hasnat muhammed emin kutay Syed Waqar Haider James Bryce Bora Cetin Department of Civil and Environmental Engineering Michigan State University Wadsworth Department of Civil and Environmental Engineering West Virginia University

Pavement infrastructure is vital in providing services and links between various sectors of society. Therefore, the preservation and maintenance of these roads are critical to attaining a pavement network in good condition throughout its service life. Various performance indicators like the international roughness index(IRI), pavement condition index(PCI), and present serviceability rating(PSR) have been used by the state department of transportation(DOT) and highway agencies for evaluating pavement surface conditions and planning future maintenance strategies. Limited data availability, multiple distresses depending on region, lack of correlation of these condition indices to maintenance strategies, and data collection limitations pose a challenge for applying these indices to local conditions. This paper compares condition indices of different states for rigid pavements. Further,using a specific condition index for local conditions is also highlighted. For this purpose, five states and their corresponding condition indices were evaluated and compared to the Michigan DOT distress index(DI). These states include Virginia, Minnesota, North Dakota, Louisiana, and Oregon. The corresponding distresses of each condition index were converted to make them compatible with the MDOT DI. This study used the MDOT's pavement management system(PMS) database to evaluate each condition index for 433 rigid pavement *** distress index was plotted against MDOT DI and compared using a paired t-test. Results show that the condition indices of Virginia and Minnesota are comparable to DI in terms of the Spearman correlation value. The t-test results show that except for Virgina, condition indices from other states statistically differ from ***, one can't use those directly for local conditions in Michigan. This paper presents the evaluation and data requirements for each condition index and its impact on selecting a maintenance treatment.

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Predictors of long-term anxiety and depression in discharged COVID-19 patients:A follow-up study

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World Journal of Clinical Cases 2022年第22期10卷 7832-7843页

作者： Rabia Kevser Boyraz Ebru Sahan muhammed emin Boylu İsmet Kırpınar Department of Psychiatry Basaksehir Cam and Sakura Research and Training HospitalIstanbul 34480Turkey Department of Psychiatry Marmara Universityİstanbul 34854Turkey Department of Psychiatry Bezmialem Vakıf Universityİstanbul 34093Turkey

BACKGROUND Patients who were hospitalized for coronavirus disease 2019(COVID-19)faced an extremely stressful experience that challenged their mental health and the longterm effects are not definitely known *** To identify both the course of mental symptoms(anxiety and depressive symptoms)and the related risk factors of recovered patients at the 20-22 mo *** One hundred and seventy-two patients were *** patients were evaluated with a telepsychiatry interview and the Hospital Anxiety and Depression Scale(HADS).Sociodemographic and clinical features were analyzed by regression *** The mean HADS-Anxiety(HADS-A)score was 9.08±4.90,and the mean HADSDepression(HADS-D)score was 8.55±*** mean HADS-A(P=0.484)and HADS-D(P=0.011)scores were increased compared to scores during *** over 50 years old,having lower financial status,and being vaccinated were associated with symptoms of depression(adjusted R2=0.168)while being over 50 years old,female sex,being vaccinated,and dyspnea were associated with higher anxiety(adjusted R2=0.245).CONCLUSION To prevent the deterioration of mental health,psychiatrists should play an active role in identifying emerging mental problems as soon as possible,more vulnerable groups should be characterized,and psychological support should be sustained after discharge.

关键词： Coronavirus Anxiety disorders Depressive disorders Tele medicine Psychiatry

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基于CT技术沥青混合料集料的识别与分离

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公路交通科技 2011年第1期28卷 13-18页

作者：胡迟春王端宜 Nelson GIBSON emin kutay Jack YOUTCHEFF 华南理工大学土木与交通学院广东广州510461 美国联邦公路局Turner-Fairbank公路研究中心美国佛吉尼亚州法尔法克斯22101 美国密西根州立大学工程学院美国密西根州东兰辛48824

为了研究沥青混合料内部集料结构,利用CT断层扫描技术对沥青混合料内部集料进行三维重构,基于Matlab(自行编制程序对集料进行识别与分离。很多情况下集料是互相接触的,这些相互接触的集料容易被程序错误地识别成是一个集料。为此首先用G... 详细信息

为了研究沥青混合料内部集料结构,利用CT断层扫描技术对沥青混合料内部集料进行三维重构,基于Matlab(自行编制程序对集料进行识别与分离。很多情况下集料是互相接触的,这些相互接触的集料容易被程序错误地识别成是一个集料。为此首先用Gaussian过滤器使集料变得更光滑,再利用Hmax过滤器使集料变得更平滑,最后进行Watershed过滤器把连接在一起的集料截段进行识别与分离。通过不同试验对这一方法进行了论证。基于此,利用CT断层扫描分析实际的沥青混合料。从计算出来的集料体积信息可以看出,与混合料内部集料级配情况是相符的。研究结果表明基于CT技术沥青混合料集料的三维识别与分离是可行的,为进一步研究沥青混合料压实过程中集料运动方向、离析和级配变化等打下了坚实的基础。

关键词：道路工程识别与分离 CT技术集料沥青混合料

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