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CATEGORIES:College of Engineering,Thesis/Dissertations
DESCRIPTION:Topic: Enhancing the Performance, Safety, and Longevity of Mass
 achusetts Pavements: Superpave5, Crowdsourced Friction, Profiler Certifica
 tion, and Friction-Integrated Balanced Mix Design Abstract: This dissertat
 ion is aimed to help the Massachusetts Department of Transportation (MassD
 OT) improve pavement durability, safety, and performance by addressing fou
 r needs: improving in-place density through mixture design, evaluating eme
 rging technologies for continuous friction monitoring, improving the relia
 bility of smoothness measurements used for construction acceptance, and in
 corporating surface characteristics into balanced mix design (BMD). The fi
 rst study evaluated Superpave5 (SP5) as an alternative to MassDOT's curren
 t Superpave4 (SP4) methodology, which has struggled to consistently achiev
 e MassDOT’s required 95% in-place density despite increased voids in min
 eral aggregate (VMA) requirements. SP5 mixtures designed at 5% air voids w
 ith reduced gyrations were developed using two Massachusetts aggregate sou
 rces and compared with SP4 mixtures. SP5 demonstrated improved compactibil
 ity and workability while meeting MassDOT's Hamburg Wheel Tracking Test ru
 tting criteria. Results showed that cracking performance depended more on 
 material source than design methodology, permeability remained acceptable,
  and FlexPAVE™ simulations predicted reduced long-term rutting for SP5 m
 ixtures. These findings support SP5 implementation without MassDOT's addit
 ional VMA requirement. The second study assessed an emerging crowdsourced 
 vehicle friction measurement (CVFM) technology against MassDOT's ASTM E274
  locked-wheel skid trailer (LWST). CVFM estimates tire– pavement frictio
 n using vehicle sensors and multiple estimation modules representing diffe
 rent driving conditions. Measurements using both methods along Interstates
  90 and 95 during a January 2026 winter storm yielded 126 spatially matche
 d pairs. Overall, CVFM readings averaged approximately two skid numbers hi
 gher than LWST measurements, a statistically significant but practically s
 mall difference. Narrowing the analysis down to the traction control syste
 m (TCS) module, which generated most matched pairs, demonstrated statistic
 al equivalence within ASTM E274 precision limits. Results support CVFM for
  winter operations and network-level friction screening as a complement to
  LWST. The third study evaluated the practicality of the profiler certific
 ation thresholds in AASHTO R 56-25 using five years of Massachusetts certi
 fication data. AASHTO R 56-25 requires inertial profilers to achieve 92% r
 epeatability and 90% accuracy relative to a reference device. The repeatab
 ility threshold yielded an average passing rate of 82.5%, while the accura
 cy threshold yielded only 39.2%, indicating that the accuracy requirement 
 may be overly restrictive. Statistical analysis showed that reducing the a
 ccuracy threshold to 84% would raise the average passing rate to 73.3%. In
  addition, an absolute International Roughness Index (IRI) deviation limit
  of ±5 in./mi produced consistent passing rates of 82-83% across smooth a
 nd medium smooth sections. The final study developed a conceptual framewor
 k for incorporating friction into BMD. Two mixtures from the National Cent
 er for Asphalt Technology (NCAT) test track met rutting and cracking crite
 ria but exhibited substantially different field friction, demonstrating th
 e need to include surface characteristics in BMD. Laboratory testing on gy
 ratory-compacted circular specimens from the same mixtures, Three-Wheel Po
 lishing Device, Dynamic Friction Tester and British Pendulum successfully 
 characterized initial friction and polished friction, reproducing similar 
 field friction ranking of both mixtures. Collectively, this research provi
 des MassDOT with implementable approaches to improve pavement durability t
 hrough SP5, enhance roadway safety through continuous friction monitoring 
 and friction-integrated BMD, and improve smoothness acceptance through pra
 ctical profiler certification criteria. ADVISOR(S): Commonwealth Professor
  Walaa St. Mogawer, P.E. Department of Civil & Environmental Engineering (
 wmogawer@umassd.edu) COMMITTEE MEMBERS:        Dr. Raymon Bonaquist, P.
 E., Advanced Asphalt Technologies                Professor Benjami
 n Shane Underwood, Civil & Environmental Engineering, N.C State University
  Professor Daniel MacDonald, Department of Civil & Environmental Engineeri
 ng Professor Mazdak Tootkaboni, Department of Civil & Environmental Engine
 ering                 NOTE:                All EAS Student
 s are ENCOURAGED to attend.\nEvent page: https://www.umassd.edu/events/cms
 /11-6-26-eas-doctoral-dissertation-defense-by-mazen-kandil.php
X-ALT-DESC;FMTTYPE=text/html:<html><body><p>Topic: Enhancing the Performanc
 e\, Safety\, and Longevity of Massachusetts Pavements: Superpave5\, Crowds
 ourced Friction\, Profiler Certification\, and Friction-Integrated Balance
 d Mix Design</p>\n<p>Abstract:</p>\n<p>This dissertation is aimed to help 
 the Massachusetts Department of Transportation (MassDOT) improve pavement 
 durability\, safety\, and performance by addressing four needs: improving 
 in-place density through mixture design\, evaluating emerging technologies
  for continuous friction monitoring\, improving the reliability of smoothn
 ess measurements used for construction acceptance\, and incorporating surf
 ace characteristics into balanced mix design (BMD). The first study evalua
 ted Superpave5 (SP5) as an alternative to MassDOT's current Superpave4 (SP
 4) methodology\, which has struggled to consistently achieve MassDOT’s r
 equired 95% in-place density despite increased voids in mineral aggregate 
 (VMA) requirements. SP5 mixtures designed at 5% air voids with reduced gyr
 ations were developed using two Massachusetts aggregate sources and compar
 ed with SP4 mixtures. SP5 demonstrated improved compactibility and workabi
 lity while meeting MassDOT's Hamburg Wheel Tracking Test rutting criteria.
  Results showed that cracking performance depended more on material source
  than design methodology\, permeability remained acceptable\, and FlexPAVE
 ™ simulations predicted reduced long-term rutting for SP5 mixtures. Thes
 e findings support SP5 implementation without MassDOT's additional VMA req
 uirement. The second study assessed an emerging crowdsourced vehicle frict
 ion measurement (CVFM) technology against MassDOT's ASTM E274 locked-wheel
  skid trailer (LWST). CVFM estimates tire– pavement friction using vehic
 le sensors and multiple estimation modules representing different driving 
 conditions. Measurements using both methods along Interstates 90 and 95 du
 ring a January 2026 winter storm yielded 126 spatially matched pairs. Over
 all\, CVFM readings averaged approximately two skid numbers higher than LW
 ST measurements\, a statistically significant but practically small differ
 ence. Narrowing the analysis down to the traction control system (TCS) mod
 ule\, which generated most matched pairs\, demonstrated statistical equiva
 lence within ASTM E274 precision limits. Results support CVFM for winter o
 perations and network-level friction screening as a complement to LWST. Th
 e third study evaluated the practicality of the profiler certification thr
 esholds in AASHTO R 56-25 using five years of Massachusetts certification 
 data. AASHTO R 56-25 requires inertial profilers to achieve 92% repeatabil
 ity and 90% accuracy relative to a reference device. The repeatability thr
 eshold yielded an average passing rate of 82.5%\, while the accuracy thres
 hold yielded only 39.2%\, indicating that the accuracy requirement may be 
 overly restrictive. Statistical analysis showed that reducing the accuracy
  threshold to 84% would raise the average passing rate to 73.3%. In additi
 on\, an absolute International Roughness Index (IRI) deviation limit of ±
 5 in./mi produced consistent passing rates of 82-83% across smooth and med
 ium smooth sections. The final study developed a conceptual framework for 
 incorporating friction into BMD. Two mixtures from the National Center for
  Asphalt Technology (NCAT) test track met rutting and cracking criteria bu
 t exhibited substantially different field friction\, demonstrating the nee
 d to include surface characteristics in BMD. Laboratory testing on gyrator
 y-compacted circular specimens from the same mixtures\, Three-Wheel Polish
 ing Device\, Dynamic Friction Tester and British Pendulum successfully cha
 racterized initial friction and polished friction\, reproducing similar fi
 eld friction ranking of both mixtures. Collectively\, this research provid
 es MassDOT with implementable approaches to improve pavement durability th
 rough SP5\, enhance roadway safety through continuous friction monitoring 
 and friction-integrated BMD\, and improve smoothness acceptance through pr
 actical profiler certification criteria.</p>\n<p>ADVISOR(S):</p>\n<p>Commo
 nwealth Professor Walaa St. Mogawer\, P.E. Department of Civil & Environme
 ntal Engineering (wmogawer@umassd.edu)</p>\n<p>COMMITTEE MEMBERS:      
 </p>\n<ul>\n<li>Dr. Raymon Bonaquist\, P.E.\, Advanced Asphalt Technologie
 s               </li>\n<li>Professor Benjamin Shane Underwood\, Ci
 vil & Environmental Engineering\, N.C State University</li>\n<li>Professor
  Daniel MacDonald\, Department of Civil & Environmental Engineering</li>\n
 <li>Professor Mazdak Tootkaboni\, Department of Civil & Environmental Engi
 neering               </li>\n</ul>\n<p>NOTE:               
  All EAS Students are ENCOURAGED to attend.</p><p>Event page: <a href="ht
 tps://www.umassd.edu/events/cms/11-6-26-eas-doctoral-dissertation-defense-
 by-mazen-kandil.php">https://www.umassd.edu/events/cms/11-6-26-eas-doctora
 l-dissertation-defense-by-mazen-kandil.php</a></a></p></body></html>
DTSTAMP:20261026T152328
DTSTART;TZID=America/New_York:20261106T090000
DTEND;TZID=America/New_York:20261106T110000
LOCATION:CIE &ndash; Main Conference Room (Room 4A)
SUMMARY;LANGUAGE=en-us:EAS Doctoral Dissertation Defense by Mazen Kandil
UID:bbd557eadabd2b990080badaaa9e5986@www.umassd.edu
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